Distribution network fund investment decision-making method and device, storage medium and computer equipment

Abstract

The embodiment of the invention discloses a distribution network fund investment decision-making method and device, a storage medium and computer equipment, and relates to the field of enterprise management. According to the method, whether each distribution network device in the list is input or not is decided by using the decision tree model, and the input device and the non-input device are identified according to the decision. Setting the score value of the input equipment as a preset maximum value; and for the non-input equipment, calculating a score value according to the plurality of working condition index values and a preset scoring standard. And carrying out arithmetic average on the score values of all the devices in the distribution network device list to obtain a comprehensive score value of the distribution network project. Comparing the comprehensive score value with a preset score threshold value, and if the comprehensive score value is higher than the threshold value, identifying the project as an input project; otherwise, identifying the project as a non-input project. The accuracy and efficiency of distribution network project investment decision making are improved, and powerful technical support is provided for enterprise development.

Description

Technical Field

[0001] The present application relates to the field of enterprise management, and in particular to a method, device, storage medium and computer equipment for making decisions on the direction of distribution network capital investment. Background Art

[0002] At present, when enterprises decide on the distribution network funding strategy, they mainly rely on the subjective experience and judgment of experts, but fail to fully integrate and utilize the actual operating data of equipment operation for in-depth quantitative analysis and scientific evaluation. This practice makes the allocation of distribution network funds lack precision and pertinence, often leading to deviations in the direction of funding, or repeated investment in certain areas, while other key areas may face a long-term shortage of funds and cannot obtain necessary maintenance and upgrades. This unbalanced funding allocation model is very likely to cause polarization in equipment maintenance: on the one hand, some equipment may waste resources due to excessive maintenance; on the other hand, some equipment may be in a state of under-repair due to lack of necessary maintenance, and its safety and reliability are greatly reduced. In summary, the existing funding allocation method urgently needs to be improved to better integrate data analysis and expert wisdom, ensure the accurate allocation of distribution network funds, and improve the efficiency and quality of equipment maintenance. Summary of the invention

[0003] The embodiments of the present application provide a decision-making method, device, storage medium and computer equipment for the investment direction of distribution network funds, which can solve the problems of low efficiency and poor quality of project decision-making in the prior art. The technical solution is as follows:

[0004] In a first aspect, an embodiment of the present application provides a method for deciding the direction of distribution network funding, the method comprising:

[0005] Obtaining the enterprise's network distribution project, and querying the network distribution equipment list of the network distribution project; the network distribution equipment list includes one or more network distribution equipment;

[0006] Using a decision tree model to decide whether to put each network distribution device in the network distribution device list into use;

[0007] According to the decision result, identify the put-in-place equipment and the non-put-in-place equipment in the distribution network equipment list; the put-in-place equipment refers to the equipment whose decision result is put-in-place, and the non-put-in-place equipment refers to the equipment whose decision result is not put-in-place;

[0008] Set the score value of each input device to the preset maximum score value;

[0009] Obtain multiple working condition index values ​​of the equipment not put into use, and calculate sub-score values ​​of each working condition index value according to a preset scoring standard, and perform weighted summation of the calculated sub-score values ​​to obtain the score value of the equipment not put into use;

[0010] According to the scoring results, the scoring values ​​of each device in the distribution network equipment list are arithmetic averaged to obtain the comprehensive score of the distribution network project;

[0011] Determine whether the comprehensive score of the distribution network project is greater than a preset score threshold;

[0012] If yes, the distribution network project is identified as an investment project;

[0013] If not, the distribution network project is identified as a non-investment project.

[0014] In a second aspect, an embodiment of the present application provides a decision-making device for distribution network capital investment, the device comprising:

[0015] An acquisition unit, used to acquire a network distribution project of an enterprise, and query a list of network distribution equipment of the network distribution project; the list of network distribution equipment includes one or more network distribution equipment;

[0016] A decision-making unit, used to make a decision on whether to put each network distribution device in the network distribution device list into use by using a decision tree model;

[0017] An identification unit, used to identify the put-in-place equipment and the non-put-in-place equipment in the distribution network equipment list according to the decision result; the put-in-place equipment means the equipment whose decision result is put-in-place, and the non-put-in-place equipment means the equipment whose decision result is not put-in-place;

[0018] A setting unit, used to set the score value of each input device to a preset maximum score value;

[0019] A calculation unit, used to obtain multiple working condition index values ​​of the equipment not put into use, and calculate sub-score values ​​of each working condition index value according to a preset scoring standard, and perform weighted summation of the calculated sub-score values ​​to obtain the score value of the equipment not put into use;

[0020] A scoring unit, configured to obtain a comprehensive score of the distribution network project by arithmetically averaging the score values ​​of each device in the distribution network equipment list according to the scoring result;

[0021] The comparison unit is used to determine whether the comprehensive score value of the distribution network project is greater than a preset score threshold; if so, identify the distribution network project as an investment project; if not, identify the distribution network project as a non-investment project.

[0022] In a third aspect, an embodiment of the present application provides a computer storage medium, wherein the computer storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded by a processor and executing the above-mentioned method steps.

[0023] In a fourth aspect, an embodiment of the present application provides a computer device, which may include: a processor and a memory; wherein the memory stores a computer program, and the computer program is suitable for being loaded by the processor and executing the above-mentioned method steps.

[0024] The beneficial effects brought about by the technical solutions provided by some embodiments of the present application include at least:

[0025] By taking the arithmetic average of the scores of invested equipment and non-invested equipment, the comprehensive score of the distribution network project is obtained. This comprehensive evaluation method can fully reflect the overall performance and potential value of the distribution network project, and provide strong data support for the investment decision of the project. According to the comparison between the comprehensive score of the distribution network project and the preset score threshold, the project is automatically identified as an investment project or a non-investment project, realizing the intelligent and automated project identification, and reducing the possibility of human intervention and misjudgment. Enterprises can allocate resources more scientifically and reasonably, give priority to those distribution network projects with high comprehensive scores and significant benefits, thereby optimizing resource allocation and improving overall operational efficiency. In summary, this technical solution significantly improves the accuracy and efficiency of distribution network project investment decisions through intelligent decision-making, refined scoring, comprehensive evaluation, intelligent project identification, and optimized resource allocation, providing strong technical support for the development of enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0027] Figure 1 It is a schematic diagram of the network architecture provided by the embodiment of the present application;

[0028] Figure 2 It is a flowchart of a method for making decisions on the direction of distribution network funds provided in an embodiment of the present application;

[0029] Figure 3 It is a structural schematic diagram of a decision-making device for distribution network capital investment provided by this application;

[0030] Figure 4 It is a structural schematic diagram of a computer device provided by this application. DETAILED DESCRIPTION

[0031] In order to make the objectives, technical solutions and advantages of the present application more clear, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

[0032] It should be noted that the decision-making method for the distribution network funding direction provided in the present application is generally executed by a computer device, and accordingly, the decision-making device for the distribution network funding direction is generally set in the computer device.

[0033] Figure 1 An exemplary system architecture of a distribution network funding direction decision method or distribution network funding direction decision device that can be applied to the present application is shown.

[0034] like Figure 1 As shown, the system architecture may include: a computer device 101 and a server 102. The computer device 101 and the server 102 may communicate via a network, and the network is used as a medium for providing communication links between the above-mentioned units. The network may include various types of wired communication links or wireless communication links, for example: a wired communication link includes an optical fiber, a twisted pair or a coaxial cable, etc., and a wireless communication link includes a Bluetooth communication link, a wireless fidelity (WIreless-FIdelity, Wi-Fi) communication link or a microwave communication link, etc.

[0035] The server 102 stores the attribute information of the project, and the computer device 101 reads the attribute information of the project from the server 102 to execute the decision of the project.

[0036] It should be noted that the computer device 101 and the server 102 can be hardware or software. When the computer device 101 and the server 102 are hardware, they can be implemented as a distributed server cluster consisting of multiple servers, or as a single server. When the computer device 101 and the server 102 are software, they can be implemented as multiple software or software modules (for example, for providing distributed services), or as a single software or software module, which is not specifically limited here.

[0037] Various communication client applications can be installed on the computer device of the present application, such as: video recording applications, video playback applications, voice interaction applications, search applications, instant messaging tools, email clients, social platform software, etc.

[0038] The computer device may be hardware or software. When the computer device is hardware, it may be various computer devices with a display screen, including but not limited to smart phones, tablet computers, laptop computers, and desktop computers. When the computer device is software, it may be installed in the computer devices listed above. It may be implemented as multiple software or software modules (for example, to provide distributed services), or it may be implemented as a single software or software module, which is not specifically limited here.

[0039] When the computer device is hardware, a display device and a camera may be installed thereon. The display device may be any device capable of realizing a display function, and the camera is used to collect video streams; for example, the display device may be a cathode ray tube display (CR), a light-emitting diode display (LED), an electronic ink screen, a liquid crystal display (LCD), a plasma display panel (PDP), etc. The user may use the display device on the computer device to view displayed text, pictures, videos and other information.

[0040] It should be understood that Figure 1 The number of computer devices, networks and servers in the embodiment is only for illustration. Any number of computer devices, networks and servers may be used as required.

[0041] The following will be combined with the attached Figure 2 , the decision-making method for the distribution network capital investment provided by the embodiment of the present application is described in detail. Among them, the decision-making device for the distribution network capital investment in the embodiment of the present application can be Figure 1 Computer equipment shown.

[0042] See also Figure 2 , which is a flowchart of a method for deciding the direction of distribution network funding investment in the embodiment of the present application. Figure 2 As shown, the method of the embodiment of the present application may include the following steps:

[0043] S201. Obtain the enterprise's network distribution project and query the network distribution equipment list of the network distribution project.

[0044] Among them, the computer equipment obtains all the current distribution network project information of the enterprise through the internal database system or API interface of the enterprise. This information is usually stored in a structured database, including the name, number, geographical location, planned investment amount, etc. of the project. For each distribution network project, the computer equipment further queries its detailed distribution network equipment list. The equipment list usually contains detailed information such as the type of equipment (such as transformers, circuit breakers, cables, etc.), model, quantity, installation location, etc. This information is also stored in the database or accessed through a specific data management system. The obtained distribution network project and distribution network equipment list data are cleaned and formatted to ensure the accuracy and efficiency of subsequent steps.

[0045] In some embodiments of the present application, the computer device is pre-configured with a mapping table, and the computer device queries multiple funding categories corresponding to each distribution network project. The mapping table is a data structure used to store the correspondence between distribution network projects and funding categories. Funding categories usually represent different types of investment directions in distribution network projects, such as transformer upgrades, line modifications, and intelligent equipment investment. For each funding category, the computer device further obtains its associated equipment set. The equipment set contains information such as the type, model, and quantity of all equipment that needs to be invested under the funding category. This information is also stored in a database or accessed through a specific data management system. The computer device summarizes the equipment sets obtained for each funding category to form a distribution network equipment list for the distribution network project.

[0046] S202: Use a decision tree model to make an investment decision for each distribution network device in the distribution network device list.

[0047] The computer device loads a pre-trained decision tree model. The model is based on historical data and takes into account multiple factors such as the type, service life, maintenance record, and energy efficiency ratio of the equipment to determine whether the equipment needs to be put into use. For each distribution network device, the computer device extracts its feature vector, including the device type, model, current operating status, historical maintenance record, etc. The feature vector is input into the decision tree model for inference and judgment. The model judges based on the conditions on the internal nodes and ultimately determines whether the equipment needs to be put into use.

[0048] For example: The computer device first queries the historical operating status data of the distribution transformer. These data usually include the equipment's operating time, fault records, maintenance records, test data, etc., which are stored in the company's database or data warehouse. The decision tree model is a classification algorithm based on a tree structure. It builds a model that can predict future results by analyzing historical data. In this example, the decision tree model is used to determine whether the distribution transformer needs to be invested (i.e., whether it needs to be replaced or upgraded).

[0049] The first decision node of the decision tree is the operating time of the distribution transformer. The computer device reads the operating time data of the distribution transformer and compares it with the preset threshold (such as 15 years). If the operating time is greater than 15 years, it means that the equipment has been used for a long time and may have aging or performance degradation problems, so the decision result is investment (that is, the equipment needs to be replaced or upgraded).

[0050] If the operating time is no more than 15 years, the computer equipment continues to determine whether the distribution transformer has had major defects. Major defects usually refer to major problems that affect the safe operation or performance of the equipment, such as serious oil leakage, winding burnout, etc. If major defects have occurred, it means that the equipment has serious safety hazards or performance problems, so the decision result is investment (that is, the equipment needs to be replaced or upgraded).

[0051] If the operating time threshold is not exceeded and no major defects have occurred, the computer device continues to determine whether the distribution transformer has experienced a fault. A fault usually refers to a minor problem or abnormality that affects the normal operation of the equipment, such as overheating, overload, etc. If a fault has occurred, it means that the equipment has certain performance problems or potential risks, so the decision result is to invest (that is, it is necessary to consider replacing or upgrading the equipment).

[0052] If none of the above three conditions are met (i.e., the operating time is no more than 15 years, no major defects have occurred, and no failures have occurred), it means that the distribution transformer is in good operating condition and has stable performance, so the decision result is not to invest (i.e., no need to replace or upgrade the equipment). The computer equipment outputs the decision results to the report for subsequent analysis and decision-making. At the same time, these decision results can also serve as one of the important bases for investment decisions of distribution network projects.

[0053] S203: Identify the devices to be put into use and the devices not to be put into use in the distribution network equipment list according to the decision result.

[0054] The computer device divides the equipment into two categories, namely, equipment to be invested and equipment not to be invested, according to the output results of the decision tree model, and stores them in two lists respectively. Equipment to be invested means equipment whose decision result is to be invested, and equipment not to be invested means equipment whose decision result is not to be invested. The classification results are verified to ensure that no equipment is missed or misclassified.

[0055] S204: Set the score value of each input device to a preset maximum score value.

[0056] The computer device assigns a preset maximum score value (such as 100 points) to each input device, indicating that these devices have received the highest evaluation in the evaluation. The score value of each input device is stored in a data structure for subsequent calculation of the comprehensive score value.

[0057] S205, obtaining multiple operating condition index values ​​of the equipment not put into use, and calculating sub-score values ​​of each operating condition index value according to a preset scoring standard, and performing weighted summation on the calculated sub-score values ​​to obtain the score value of the equipment not put into use.

[0058] Among them, the computer equipment obtains multiple working condition index values ​​of each device from the database of non-invested devices, such as failure rate, energy efficiency ratio, maintenance cost, etc. According to the preset scoring criteria (such as the lower the failure rate, the higher the score, the higher the energy efficiency ratio, the higher the score, etc.), a sub-score value is calculated for each working condition index value. According to the importance (i.e., weight) of each working condition index, the sub-score values ​​are weighted and summed to obtain the final score value of the non-invested device.

[0059] In some embodiments of the present application, the computer device first reads the equipment type information of each device from the list of unused equipment. The equipment type is a label that identifies the type and function of the equipment, such as transformers, circuit breakers, cables, etc. According to the acquired equipment type, the computer device queries a preset operating condition indicator database for multiple operating condition indicators associated with the equipment type. Operating condition indicators are key parameters used to evaluate the operating status and performance of equipment, such as failure rate, energy efficiency ratio, maintenance cost, service life, etc. The computer device then queries the operating condition indicator value corresponding to each operating condition indicator in the enterprise's business middle station system. The business middle station is a platform that integrates multiple business systems. It provides a unified access interface for information such as equipment operating status, maintenance records, and energy consumption data. Through the business middle station, the computer device can obtain the latest operating condition indicator values ​​of the equipment in real time or periodically.

[0060] Furthermore, the preset scoring criteria include multiple numerical intervals, each of which corresponds to a specific scoring value. These numerical intervals and scoring values ​​are determined based on factors such as historical data, industry standards or corporate policies, and are used to evaluate the pros and cons of operating condition index values. The computer device detects the interval in which each operating condition index value is located based on the preset numerical interval. This is usually achieved by comparing the operating condition index value with the upper and lower limits of the numerical interval. Once the numerical interval in which the operating condition index value is located is determined, the computer device queries the scoring value corresponding to the interval, that is, the sub-scoring value. This sub-scoring value reflects the relative position of the operating condition index value in the overall evaluation. For each operating condition indicator, the computer device calculates a sub-scoring value according to the above steps. Then, according to the importance (i.e., weight) of each operating condition indicator, these sub-scoring values ​​are weighted and summed to obtain the final scoring value of the non-invested equipment. The determination of weights is usually based on factors such as expert experience, industry standards or corporate policies.

[0061] In some cases, the operating condition index value may exceed the preset value range. For this case, the computer device can preset a default score value, or calculate the sub-score value according to a specific rule (such as linear interpolation, nearest neighbor, etc.).

[0062] In some embodiments of the present application, the computer device uses the analytic hierarchy process (AHP) to determine the weights of various operating condition index values. This process involves multiple steps, including establishing a hierarchical model, constructing a judgment matrix, calculating weights, and performing consistency checks. This can effectively reduce human subjectivity and bias and improve the objectivity and accuracy of the evaluation process.

[0063] S206. According to the scoring results, the scoring values ​​of each device in the distribution network equipment list are arithmetic averaged to obtain a comprehensive score value of the distribution network project.

[0064] The computer equipment will summarize the scores of the equipment put into use and the equipment not put into use. The maximum score of the equipment put into use and the final score of the equipment not put into use are averaged to obtain the comprehensive score of the distribution network project.

[0065] For example, if a distribution network project includes the following equipment to be put into use and equipment not to be put into use, the scores are as follows:

[0066] The list of equipment invested and the scoring values ​​are shown in Table 1.

[0067]

[0068]

[0069] Table 1

[0070] Note: In this example, all input devices received the preset maximum score value, indicating that they all performed well in the assessment.

[0071] The list of equipment not invested and the scoring values ​​are shown in Table 2.

[0072]

[0073] Table 2

[0074] Note: In this example, the score of the non-invested equipment is calculated based on its operating condition index value, the preset scoring criteria and the weight of each index. For example, the lower the failure rate, the higher the score, the higher the energy efficiency ratio, etc. The final score is obtained by weighted summing up each sub-score value (in this example, a simple arithmetic average).

[0075] Calculation of comprehensive score: Sum of the scores of the invested equipment: Since all the invested equipment has obtained the maximum score, the sum is 100+100+100=300.

[0076] Total score without equipment: The final total score without equipment is 60+47=107.

[0077] Total number of equipment: The total number of equipment put into use and equipment not put into use is 3 (equipment put into use) + 2 (equipment not put into use) = 5.

[0078] Calculation of comprehensive score: Take the arithmetic average of the sum of the scores of the invested equipment and the sum of the scores of the non-invested equipment to obtain the comprehensive score of the distribution network project. The specific calculation is (300+107) / 5=81.4.

[0079] Therefore, the comprehensive score of the distribution network project is 81.4. This score will be used in the subsequent judgment step (S207) to determine whether the project should be identified as an investment project or a non-investment project.

[0080] S207: Determine whether the comprehensive score of the distribution network project is greater than a preset score threshold.

[0081] The computer device compares the comprehensive score of the distribution network project with a preset score threshold, and determines whether the comprehensive score of the distribution network project is greater than the threshold according to the comparison result.

[0082] S208: If yes, identify the distribution network project as an investment project.

[0083] If the comprehensive score of the distribution network project is greater than a preset score threshold, the computer device identifies the project as an investment project and records the identification result in the project database for subsequent tracking and management.

[0084] S209: If no, identify the distribution network project as a non-investment project.

[0085] If the comprehensive score of the distribution network project is not greater than the preset score threshold, the computer device identifies the project as a non-investment project. The identification result is also recorded in the project database for subsequent analysis and decision-making.

[0086] Furthermore, the computer equipment first summarizes all the distribution network equipment and related information that are judged by the decision tree model to need investment (i.e., replacement or upgrade), including the affiliated unit, equipment name, distribution network equipment list (i.e., specific equipment that needs to be invested and its model, quantity, etc.) and comprehensive score (which has been calculated before).

[0087] The distribution network capital investment table is a database table or data structure used to store information related to investment projects. It usually contains the following fields: unit (department or unit responsible for implementing the investment project), name (name or logo of the investment project), distribution network equipment list (specific equipment to be invested and its detailed information), comprehensive score (the overall evaluation score of the investment project, which may be calculated based on multiple factors), etc. For each distribution network equipment and its project that needs to be invested, the computer device checks whether the same unit, name and distribution network equipment list already exist in the distribution network capital investment table. If not, the computer device inserts the new investment project information into the distribution network capital investment table. If it exists, the computer device will update the comprehensive score of the investment project (if the comprehensive score has changed) or other relevant information (such as planned investment time, budget, etc.). Before inserting or updating data, the computer device can perform data verification to ensure that the input data conforms to the specified format and range. For example, it can check whether the unit name is legal, whether the equipment list is complete, whether the comprehensive score is within a reasonable range, etc. In order to facilitate tracking and auditing, the computer device can record the operation log of each insertion or update of the distribution network capital investment table. These logs usually contain the operation time, operator, operation type (insert / update), investment project information, etc. In order to ensure the security and reliability of data, the computer equipment can regularly back up the distribution network capital investment table. At the same time, in the event of data loss or damage, the data can be restored by restoring the backup. Finally, the computer equipment can output the updated distribution network capital investment table to the report or management system for relevant personnel to view and analyze. These update results can serve as an important basis for enterprises to formulate distribution network project investment plans and optimize resource allocation.

[0088] This application has the following beneficial effects:

[0089] Through the decision tree model, intelligent decisions can be made on whether each distribution network equipment should be put into use, which can quickly and accurately identify which equipment should be put into use and which equipment should not be put into use, thereby improving decision-making efficiency and accuracy. For the equipment that is put into use, the maximum score is directly assigned, which simplifies the processing flow; for the equipment that is not put into use, the score is calculated based on multiple working condition index values ​​and preset scoring standards. This refined scoring mechanism can more comprehensively reflect the actual status of the equipment and ensure the fairness and rationality of the scoring. By taking the arithmetic average of the score values ​​of the put-in-use equipment and the non-put-in-use equipment, the comprehensive score value of the distribution network project is obtained. This comprehensive evaluation method can fully reflect the overall performance and potential value of the distribution network project and provide strong data support for the investment decision of the project. According to the comparison between the comprehensive score value of the distribution network project and the preset score threshold, the project is automatically identified as an investment project or a non-investment project, realizing the intelligent and automated identification of the project and reducing the possibility of human intervention and misjudgment. Enterprises can allocate resources more scientifically and reasonably, give priority to those distribution network projects with high comprehensive scores and significant benefits, thereby optimizing resource allocation and improving overall operational efficiency.

[0090] The following is an embodiment of the device of the present application, which can be used to execute the embodiment of the method of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the method of the present application.

[0091] See also Figure 3 , which shows a schematic diagram of the structure of a decision-making device for the distribution network funding direction provided by an exemplary embodiment of the present application, hereinafter referred to as device 3. The device 3 can be implemented as all or part of a computer device through software, hardware, or a combination of both. The device 3 includes: an acquisition unit 301, a decision unit 302, an identification unit 303, a setting unit 304, a calculation unit 305, a scoring unit 306, and a comparison unit 307.

[0092] The acquisition unit 301 is used to acquire the network distribution project of the enterprise and query the network distribution equipment list of the network distribution project; the network distribution equipment list includes one or more network distribution equipment;

[0093] A decision unit 302, configured to use a decision tree model to make a decision on whether to put each network distribution device in the network distribution device list into use;

[0094] An identification unit 303 is used to identify the put-in-place equipment and the non-put-in-place equipment in the distribution network equipment list according to the decision result; the put-in-place equipment refers to the equipment whose decision result is put-in-place, and the non-put-in-place equipment refers to the equipment whose decision result is not put-in-place;

[0095] A setting unit 304, used to set the score value of each input device to a preset maximum score value;

[0096] The calculation unit 305 is used to obtain multiple operating condition index values ​​of the non-operating equipment, and calculate the sub-score values ​​of each operating condition index value according to the preset scoring standard, and perform weighted summation on the calculated sub-score values ​​to obtain the score value of the non-operating equipment;

[0097] A scoring unit 306 is used to obtain a comprehensive score of the distribution network project by arithmetically averaging the score values ​​of each device in the distribution network device list according to the scoring result;

[0098] The comparison unit 307 is used to determine whether the comprehensive score value of the distribution network project is greater than a preset score threshold; if yes, the distribution network project is identified as an investment project; if not, the distribution network project is identified as a non-investment project.

[0099] In one or more possible embodiments, querying the list of network distribution equipment of the network distribution project includes:

[0100] Querying multiple categories of capital investment corresponding to the distribution network project according to a preset mapping table;

[0101] Get the device set associated with each major category of capital investment;

[0102] The funds obtained are invested in major equipment categories and the distribution network equipment list is obtained by summarizing them.

[0103] In one or more possible embodiments, obtaining multiple operating condition index values ​​of non-operating equipment includes:

[0104] Get the type of equipment that is not put into the equipment;

[0105] Query multiple associated working condition indicators based on equipment type;

[0106] Query the working condition indicator values ​​of each working condition indicator in the business center.

[0107] In one or more possible embodiments, the preset scoring criteria calculate the sub-score values ​​of each operating condition index value, including:

[0108] Detecting the numerical intervals of the working condition index values ​​according to the preset multiple numerical intervals; each numerical interval is set with a scoring value;

[0109] Query the corresponding sub-score value according to the numerical range.

[0110] In one or more possible embodiments, identifying the distribution network project as an investment project further includes:

[0111] The distribution network capital investment table is updated according to the investment project, and the distribution network capital investment table is used to store the unit, name, distribution network equipment list and comprehensive score value of the investment project.

[0112] In one or more possible embodiments, the weight of each operating condition index value is determined using a hierarchy analysis method.

[0113] In one or more possible embodiments, the power distribution equipment includes: a distribution transformer, and the operating indicators of the distribution transformer include: equipment operating time, number of equipment failures, number of equipment defects, number of equipment hidden dangers, equipment area level and number of user complaints.

[0114] It should be noted that the device 3 provided in the above embodiment only uses the division of the above functional modules as an example when executing the decision-making method for the distribution network funding direction. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above functions. In addition, the decision-making device for the distribution network funding direction provided in the above embodiment and the decision-making method embodiment for the distribution network funding direction belong to the same concept. The implementation process is detailed in the method embodiment, which will not be repeated here.

[0115] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0116] The present application also provides a computer storage medium, which can store multiple instructions, and the instructions are suitable for being loaded and executed by a processor as described above. Figure 2 The method steps of the embodiment shown in the figure can be found in the specific implementation process. Figure 2 The specific description of the illustrated embodiment will not be repeated here.

[0117] The present application also provides a computer program product, which stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the decision-making method for distribution network fund investment as described in the above embodiments.

[0118] See also Figure 4 , which is a schematic diagram of the structure of a computer device according to an embodiment of the present application. Figure 4 As shown, the computer device 400 may include: at least one processor 401 , at least one network interface 404 , a user interface 403 , a memory 405 , and at least one communication bus 402 .

[0119] The communication bus 402 is used to realize the connection and communication between these components.

[0120] The user interface 403 may include a display screen (Display) and a camera (Camera), and the optional user interface 403 may also include a standard wired interface and a wireless interface.

[0121] The network interface 404 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0122] Among them, the processor 401 may include one or more processing cores. The processor 401 uses various interfaces and lines to connect various parts within the entire computer device 400, and executes various functions and processes data of the computer device 400 by running or executing instructions, programs, code sets or instruction sets stored in the memory 405, and calling data stored in the memory 405. Optionally, the processor 401 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 401 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 401, and it can be implemented separately through a chip.

[0123] Among them, the memory 405 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 405 includes a non-transitory computer-readable storage medium. The memory 405 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 405 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned method embodiments, etc.; the data storage area may store data involved in the above-mentioned method embodiments, etc. The memory 405 may optionally be at least one storage device located away from the aforementioned processor 401. As Figure 4 As shown, the memory 405 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program.

[0124] exist Figure 4 In the computer device 400 shown in FIG. 1 , the user interface 403 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 401 can be used to call the application program stored in the memory 405 and specifically execute the following steps: Figure 2 The specific process can be referred to Figure 2 As shown, no further description is given here.

[0125] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0126] The above disclosure is only the preferred embodiment of the present application, which certainly cannot be used to limit the scope of rights of the present application. Therefore, equivalent changes made according to the claims of the present application are still within the scope covered by the present application.

Claims

1. A decision-making method for distribution network capital investment, characterized in that: include: Obtaining the enterprise's network distribution project, and querying the network distribution equipment list of the network distribution project; the network distribution equipment list includes one or more network distribution equipment; Using a decision tree model to decide whether to put each network distribution device in the network distribution device list into use; According to the decision result, identify the put-in-place equipment and the non-put-in-place equipment in the distribution network equipment list; the put-in-place equipment refers to the equipment whose decision result is put-in-place, and the non-put-in-place equipment refers to the equipment whose decision result is not put-in-place; Set the score value of each input device to the preset maximum score value; Obtain multiple working condition index values ​​of the equipment not put into use, and calculate sub-score values ​​of each working condition index value according to a preset scoring standard, and perform weighted summation of the calculated sub-score values ​​to obtain the score value of the equipment not put into use; According to the scoring results, the scoring values ​​of each device in the distribution network equipment list are arithmetic averaged to obtain the comprehensive score of the distribution network project; Determine whether the comprehensive score of the distribution network project is greater than a preset score threshold; If yes, the distribution network project is identified as an investment project; If not, the distribution network project is identified as a non-investment project.

2. The method according to claim 1, characterized in that The querying of the list of network distribution equipment of the network distribution project includes: Querying multiple categories of capital investment corresponding to the distribution network project according to a preset mapping table; Get the device set associated with each major category of capital investment; The funds obtained are invested in major equipment categories and the distribution network equipment list is obtained by summarizing them.

3. The method according to claim 1 or 2, characterized in that: The obtaining of multiple operating condition index values ​​of non-operating equipment includes: Get the type of equipment that is not put into the equipment; Query multiple associated working condition indicators based on equipment type; Query the working condition indicator values ​​of each working condition indicator in the business center.

4. The method according to claim 3, characterized in that The preset scoring criteria calculate the sub-scores of each operating condition index value, including: Detecting the numerical intervals of the working condition index values ​​according to the preset multiple numerical intervals; each numerical interval is set with a scoring value; Query the corresponding sub-score value according to the numerical range.

5. The method according to claim 1, 2 or 4, characterized in that: The identifying the distribution network project as an investment project further includes: The distribution network capital investment table is updated according to the investment project, and the distribution network capital investment table is used to store the unit, name, distribution network equipment list and comprehensive score value of the investment project.

6. The method according to claim 5, characterized in that The analytic hierarchy process is used to determine the weights of each operating condition index value.

7. The method according to claim 6, characterized in that The power distribution equipment includes: distribution transformers. The operating indicators of distribution transformers include: equipment operating time, number of equipment failures, number of equipment defects, number of equipment hidden dangers, equipment area level and number of user complaints.

8. A decision-making device for distribution network capital investment, characterized in that: include: An acquisition unit, used to acquire a network distribution project of an enterprise and query a list of network distribution equipment of the network distribution project; The network distribution equipment list includes one or more network distribution equipment; A decision-making unit, used to make a decision on whether to put each network distribution device in the network distribution device list into use by using a decision tree model; An identification unit, used to identify the put-in-place equipment and the non-put-in-place equipment in the distribution network equipment list according to the decision result; the put-in-place equipment means the equipment whose decision result is put-in-place, and the non-put-in-place equipment means the equipment whose decision result is not put-in-place; A setting unit, used to set the score value of each input device to a preset maximum score value; A calculation unit, used to obtain multiple working condition index values ​​of the equipment not put into use, and calculate sub-score values ​​of each working condition index value according to a preset scoring standard, and perform weighted summation of the calculated sub-score values ​​to obtain the score value of the equipment not put into use; A scoring unit, configured to obtain a comprehensive score of the distribution network project by arithmetically averaging the score values ​​of each device in the distribution network equipment list according to the scoring result; A comparison unit, used to determine whether the comprehensive score of the distribution network project is greater than a preset score threshold; If yes, the distribution network project is identified as an investment project; if no, the distribution network project is identified as a non-investment project.

9. A computer storage medium, characterized in that The computer storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the method steps according to any one of claims 1 to 7.

10. A computer device, characterized in that: include: A processor and a memory; wherein the memory stores a computer program, and the computer program is suitable for being loaded by the processor and executing the method steps as claimed in any one of claims 1 to 7.

Images