CN115392809B

CN115392809B - Power index information generation method and device, electronic equipment and medium

Info

Publication number: CN115392809B
Application number: CN202211341667.9A
Authority: CN
Inventors: 刘明巍; 陈广; 孟贤; 李洪琳; 张兵; 戎袁杰; 王国伟; 刘若乔; 宋述贵; 方茂欢; 梁志洲; 闫美辰; 陈曦; 张晓波
Original assignee: State Grid Information and Telecommunication Co Ltd; Beijing Guodiantong Network Technology Co Ltd; State Grid Materials Co Ltd
Current assignee: State Grid Information and Telecommunication Co Ltd; Beijing Guodiantong Network Technology Co Ltd; State Grid Materials Co Ltd
Priority date: 2022-10-31
Filing date: 2022-10-31
Publication date: 2022-12-23
Anticipated expiration: 2042-10-31
Also published as: CN115392809A

Abstract

The embodiment of the disclosure discloses a power index information generation method, a power index information generation device, an electronic device and a medium. One embodiment of the method comprises: for each piece of electric power index basic information, performing weighted summation processing on the first electric power equipment acquisition number, the second electric power equipment acquisition number and the third electric power equipment acquisition number included in the electric power index basic information to generate an area electric power equipment acquisition number; for each generated region power equipment, acquiring power index basic information of which the number corresponds to the acquired number of the region power equipment, and determining a ratio of the acquired number of the region power equipment to the acquired number of the target power equipment included in the power index basic information as a timely acquisition rate of the region power equipment; and generating a regional power index information set based on the power index basic information set and the regional power equipment timely acquisition rate set. This embodiment avoids the need to repeatedly schedule transport vehicles to transport electrical equipment.

Description

Power index information generation method and device, electronic equipment and medium

Technical Field

The embodiment of the disclosure relates to the technical field of computers, in particular to a power index information generation method, a power index information generation device, electronic equipment and a medium.

Background

Currently, in order to determine procurement information (e.g., actual procurement quantity, target procurement quantity, rated voltage, rated current, rated frequency, etc. of electrical equipment procured) of each area (e.g., transformer, generator, transformer, etc.), the following is generally adopted: and acquiring purchasing information of the power equipment in a offline statistical manner.

However, the following technical problems generally exist in the above manner:

firstly, an offline statistical method is adopted, purchasing information of the power equipment is difficult to obtain in time, and when the power equipment is not purchased sufficiently, a transport vehicle needs to be dispatched repeatedly to transport the power equipment;

secondly, adopt the mode of off-line statistics, be difficult to in time acquire power equipment's purchase information, purchase easily to the lower power equipment of quality.

The above information disclosed in this background section is only for enhancement of understanding of the background of the inventive concept and, therefore, it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art in this country.

Disclosure of Invention

This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

Some embodiments of the present disclosure propose power indicator information generation methods, apparatuses, electronic devices, computer readable media and program products to solve one or more of the technical problems mentioned in the background section above.

In a first aspect, some embodiments of the present disclosure provide a power indicator information generating method, including: acquiring basic information of a power index of each area in a preset time period to obtain a basic information set of the power index, wherein the preset time period comprises a first time period, a second time period and a third time period, and the basic information of the power index in the basic information set of the power index comprises: the power equipment acquires information, and the power equipment acquires information including: acquiring the number of target power equipment, acquiring the number of first power equipment corresponding to the first time period, acquiring the number of second power equipment corresponding to the second time period and acquiring the number of third power equipment corresponding to the third time period; for each piece of basic information of the power index in the basic information set of the power index, performing weighted summation processing on the first power equipment acquisition number, the second power equipment acquisition number and the third power equipment acquisition number included in the basic information of the power index to generate an area power equipment acquisition number; acquiring power index basic information of which the number corresponds to the acquired number of the regional power equipment for each generated regional power equipment, and determining the ratio of the acquired number of the regional power equipment to the acquired number of the target power equipment included in the power index basic information as the timely acquisition rate of the regional power equipment; determining the average value of the determined timely acquisition rates of the electric power equipment in each area as the timely acquisition rate of the target electric power equipment; determining the timely acquisition rate of each determined regional power device as a regional power device timely acquisition rate set; generating a regional power index information set based on the power index basic information set and the regional power equipment timely acquisition rate set; and generating target power index information based on the power index basic information set and the target power equipment timely acquisition rate.

In a second aspect, some embodiments of the present disclosure provide an apparatus for generating power indicator information, the apparatus comprising: the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is configured to acquire power index basic information of each area in a preset time period, and obtain a power index basic information set, the preset time period comprises a first time period, a second time period and a third time period, and the power index basic information in the power index basic information set comprises: the power equipment acquires information, and the power equipment acquires information including: acquiring the number of target power equipment, acquiring the number of first power equipment corresponding to the first time period, acquiring the number of second power equipment corresponding to the second time period and acquiring the number of third power equipment corresponding to the third time period; a first processing unit configured to perform, for each of the power index basic information sets, weighted summation processing on a first power equipment acquisition number, a second power equipment acquisition number, and a third power equipment acquisition number included in the power index basic information to generate a regional power equipment acquisition number; a first determination unit configured to acquire, for each of the generated regional power devices, power index basic information whose number corresponds to the aforementioned regional power device acquisition number, and determine a ratio of the aforementioned regional power device acquisition number to a target power device acquisition number included in the aforementioned power index basic information as a regional power device in-time acquisition rate; a second processing unit configured to determine an average value of the determined respective regional power equipment in-time acquisition rates as a target power equipment in-time acquisition rate; a second determining unit configured to determine the determined respective regional power device in-time acquisition rates as a set of regional power device in-time acquisition rates; a first generation unit configured to generate a regional power index information set based on the power index basic information set and the regional power equipment timely acquisition rate set; and a second generation unit configured to generate target power index information based on the set of power index basic information and the target power equipment timely acquisition rate.

In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.

In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.

The above embodiments of the present disclosure have the following advantages: through the power index information generation method of some embodiments of the present disclosure, it is possible to avoid repeatedly scheduling transportation vehicles to transport power equipment. Specifically, the reason why the transportation vehicle needs to be repeatedly scheduled to transport the electric power equipment is that: the method of off-line statistics is adopted, purchasing information of the power equipment is difficult to obtain in time, and when the power equipment is not purchased sufficiently, a transport vehicle needs to be dispatched repeatedly to transport the power equipment. Based on this, the power index information generation method of some embodiments of the present disclosure first obtains the power index basic information of each area within a preset time period, to obtain a power index basic information set. The preset time period includes a first time period, a second time period and a third time period, and the power index basic information in the power index basic information set includes: the power equipment acquires information, and the power equipment acquires information including: the target power equipment acquisition number, the first power equipment acquisition number corresponding to the first time period, the second power equipment acquisition number corresponding to the second time period, and the third power equipment acquisition number corresponding to the third time period. Secondly, for each piece of basic information of the power index in the basic information set of the power index, the first power equipment acquisition number, the second power equipment acquisition number and the third power equipment acquisition number included in the basic information of the power index are subjected to weighted summation processing to generate an area power equipment acquisition number. Therefore, calculation can be carried out according to different weights according to different planned closed-loop time periods so as to estimate the time length required by each purchased electric power device. For example, when a procurement plan completes more slowly, the weight is lower, indicating that the procurement plan should be completed more quickly. Then, for each generated area power device acquisition quantity, power index basic information corresponding to the area power device acquisition quantity is obtained, and the ratio of the area power device acquisition quantity to a target power device acquisition quantity included in the power index basic information is determined as an area power device timely acquisition rate. Therefore, the timely acquisition rate of the power equipment in each area can be obtained, and the difference of the timely acquisition rate of the power equipment among the areas can be conveniently compared, so that business personnel in each area can conveniently adjust the purchasing plan of each area. For example, when the timely acquisition rate of the regional power equipment is low, the completion of the purchasing plan is accelerated, and a transport vehicle is scheduled to purchase more power equipment. And then, determining the average value of the determined timely acquisition rates of the electric power equipment in each area as the timely acquisition rate of the target electric power equipment. And then, determining the timely acquisition rate of each determined regional power device as a regional power device timely acquisition rate set. And then, generating a regional power index information set based on the power index basic information set and the regional power equipment timely acquisition rate set. This makes it possible to obtain purchase information of the electric power equipment in each area. And finally, generating target electric power index information based on the electric power index basic information set and the target electric power equipment timely acquisition rate. Therefore, the overall purchasing information of the power equipment can be acquired in time, and the overall purchasing information of the power equipment in each area can be known conveniently. For example, when the purchased electrical equipment is insufficient, the transport vehicle may be scheduled to purchase more electrical equipment. Therefore, repeated dispatching of the transport vehicle to transport the power equipment is avoided.

Drawings

The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.

FIG. 1 is a flow diagram of some embodiments of a power indicator information generation method according to the present disclosure;

FIG. 2 is a schematic block diagram of some embodiments of a power metric information generating apparatus according to the present disclosure;

FIG. 3 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.

It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.

The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

Referring to fig. 1, a flow 100 of some embodiments of a power indicator information generation method according to the present disclosure is shown. The power index information generation method comprises the following steps:

step 101, acquiring basic information of the power index of each area in a preset time period to obtain a basic information set of the power index.

In some embodiments, an executing subject (e.g., a computing device) of the power index information generation method may obtain the power index basic information of each area in a preset time period from the terminal device by means of wired connection or wireless connection, so as to obtain a power index basic information set. The preset time period includes a first time period, a second time period and a third time period, and the power index basic information in the power index basic information set includes: the power equipment acquires information, and the power equipment acquires information including: the target power equipment acquisition number, the first power equipment acquisition number corresponding to the first time period, the second power equipment acquisition number corresponding to the second time period, and the third power equipment acquisition number corresponding to the third time period. Wherein the preset time period may be, but is not limited to, one week, ten days, one month, one quarter. A region may be, but is not limited to, a province, a city, a county. The first, second, and third time periods may be first, second, and third planned closed-loop time periods. The planned closed loop time period may be a preset time period for procurement of electrical equipment. For example, the first planned closed-loop time period may be within forty days, the second planned closed-loop time period may be between forty days and fifty days, and the third planned closed-loop time period may be between fifty days and fifty-nine days (when the planned closed-loop time period is sixty days or more, no calculation is made). The first planned closed-loop time period may also be within two days, the second planned closed-loop time period may also be between three days and four days, and the third planned closed-loop time period may be between five days and six days (when the planned closed-loop time period is equal to or greater than seven days, no calculations are made). The target quantity of electrical devices may be a preset quantity of electrical devices to be purchased, and the first, second, and third quantities of electrical devices to be acquired may be quantities of electrical devices purchased in a first planned closed-loop time period, a second planned closed-loop time period, and a third planned closed-loop time period, respectively.

And 102, performing weighted summation processing on the first power equipment acquisition number, the second power equipment acquisition number and the third power equipment acquisition number included in the power index basic information set to generate an area power equipment acquisition number for each piece of power index basic information in the power index basic information set.

In some embodiments, for each of the power index basic information sets, the execution subject may perform a weighted summation process on the first power equipment acquisition number, the second power equipment acquisition number, and the third power equipment acquisition number included in the power index basic information set to generate the regional power equipment acquisition number.

In practice, for each of the above-described sets of power index basic information, the execution subject may generate the regional power equipment acquisition number by:

in the first step, a product of the first power equipment acquisition number and the first weight included in the above power indicator basic information may be determined as the first weight power equipment acquisition number. The first weight may be a preset weight corresponding to the acquired number of the first power devices.

In the second step, the product of the second power equipment obtaining number and the second weight may be determined as the second weight power equipment obtaining number. The second weight may be a preset weight corresponding to the number of second power devices to be acquired.

Third, the product of the third power equipment acquisition number and the third weight may be determined as the third weight power equipment acquisition number. The third weight may be a preset weight corresponding to the third power device acquisition number.

And fourthly, determining the sum of the acquired number of the first weight power equipment, the acquired number of the second weight power equipment and the acquired number of the third weight power equipment as the acquired number of the regional power equipment.

Step 103, for each generated area power device acquisition quantity, power index basic information corresponding to the area power device acquisition quantity is obtained, and a ratio of the area power device acquisition quantity to a target power device acquisition quantity included in the power index basic information is determined as an area power device timely acquisition rate.

In some embodiments, for each generated area power device acquisition number, the power index basic information corresponding to the area power device acquisition number may be determined by the execution subject as the area power device timely-acquisition rate, where the area power device acquisition number is a ratio of the area power device acquisition number to a target power device acquisition number included in the power index basic information.

In practice, for each generated area power device acquisition number of the power index basic information corresponding to the area power device acquisition number, the executing body may generate the area power device timely acquisition rate by:

in the first step, a ratio of the acquired number of the regional power devices to the acquired number of the power devices included in the basic information of the power index may be determined as a timely acquired ratio of the regional power devices.

In the second step, the product of the timely acquisition ratio of the regional power equipment and 100% may be determined as the timely acquisition rate of the regional power equipment.

And 104, determining the average value of the determined timely acquisition rates of the electric power equipment in each area as the timely acquisition rate of the target electric power equipment.

In some embodiments, the execution subject may determine an average value of the determined respective regional power equipment timely acquisition rates as the target power equipment timely acquisition rate.

And 105, determining the timely acquisition rate of each determined area electric power device as a timely acquisition rate set of the area electric power devices.

In some embodiments, the execution subject may determine the determined respective regional power device timely acquisition rates as a set of regional power device timely acquisition rates. The regional power equipment timely acquisition rate set comprises power equipment timely acquisition rates of all regions.

And 106, generating a regional power index information set based on the power index basic information set and the regional power equipment timely acquisition rate set.

In some embodiments, the execution subject may generate a set of regional power indicator information based on the set of basic power indicator information and the set of timely acquisition rates for regional power devices. The power equipment basic information in the power index basic information set further includes power equipment qualification information, supply end conversion value attribute value sets, power equipment value information, power equipment analysis information, power equipment service information, power equipment conversion information, analysis user information, and power equipment standard information. The electrical equipment qualification information includes: the qualified electric power equipment acquires the attribute value and the electric power equipment acquires the attribute value. The power equipment value information includes: the first power equipment value attribute value, the first target power equipment value attribute value, the second power equipment value attribute value, and the second target power equipment value attribute value. Wherein the power device may include, but is not limited to, at least one of: transformer, generator, mutual-inductor. The qualified power device may be a power device with a preset standard (for example, the preset standard may be a standard in which a rated voltage, a rated current, a rated frequency, and the like are all within a preset interval). The electric power equipment acquisition attribute value may be a total value attribute value (total amount) of each purchased electric power equipment. The above-mentioned qualified electrical equipment acquisition attribute value may be a total value attribute value (total amount) of each of the purchased qualified electrical equipment. The supplier-side conversion value attribute value in the supplier-side conversion value attribute value group may be a total conversion value attribute value (total amount) of each of the electric power devices purchased to the supplier side. The first electrical equipment value attribute value may be a total value-to-value attribute value (total amount of the electrical equipment actually arrived at) of each electrical equipment actually purchased within a preset time period (for example, the preset time period may be, but is not limited to, one week, ten days, one month, and one quarter). The first target electrical equipment value attribute value may be a total conversion value attribute value (total amount of electrical equipment planned to be purchased) of each electrical equipment to be purchased, which is preset within a preset time period. The second electrical equipment value attribute may be a total value of the total flow-to-value attribute (a total amount paid in time for the electrical equipment to arrive in good time) of each electrical equipment purchased within a preset time period (for example, the preset time period may refer to a time period of ten days, one month, one quarter, and the like). The second target electrical equipment value attribute value may be a total conversion value attribute value (a total amount that the electrical equipment should pay in time when arriving) of each electrical equipment that should be purchased and is preset in a preset time period.

In practice, the executing agent may generate the regional power index information set by:

in a first step, for each power index basic information in the power index basic information set, the executing body may perform the following processing sub-steps:

the first substep is to determine a ratio of the qualified electrical equipment acquisition attribute value to the electrical equipment acquisition attribute value included in the electrical index basic information as a regional electrical equipment qualification rate.

In practice, first, the ratio of the qualified electric power equipment acquisition attribute value to the electric power equipment acquisition attribute value included in the above-mentioned electric power index basic information may be determined as the area electric power equipment qualified ratio. Then, the product of the above-described area electric power equipment pass ratio value and 100% may be determined as the area electric power equipment pass rate. Wherein, when the area power equipment qualification rate reaches a preset value (for example, the preset value may be 85%), the area power equipment qualification rate is set to a preset value (for example, the preset value may be 100%).

And a second substep of performing weighted summation processing on the supply-side transfer value attribute values included in the power index basic information to generate regional supply-side transfer value attribute values. And the supply terminals corresponding to the supply terminal flow value attribute value groups are supply terminals with different levels.

In practice, for each of the set of supply-side transrating attribute values, a product of the supply-side transrating attribute value and a preset weight corresponding to the supply-side transrating attribute value may be determined as a supply-side weight value. The sum of the generated individual supplier weight stream value attribute values may then be determined as the regional supplier weight stream value attribute value.

And a third substep of determining a ratio of the regional supply end conversion value attribute value to the electrical equipment acquisition attribute value included in the electrical index basic information as a regional electrical equipment acquisition achievement rate.

In practice, first, a ratio between the regional supply end conversion value attribute value and the power equipment acquisition attribute value included in the power index basic information may be determined as a regional power equipment acquisition achievement ratio. Then, the product of the above-mentioned area electric power equipment acquisition achievement ratio and 100% may be determined as the area electric power equipment acquisition achievement rate.

And a fourth substep of determining a ratio of the first power equipment value attribute value included in the power index basic information to the first target power equipment value attribute value as a first power equipment value coefficient of the region.

A fifth substep of determining a ratio of the second electric power equipment worth attribute value included in the electric power index basic information to the second target electric power equipment worth attribute value as a regional second electric power equipment worth coefficient.

A sixth substep of performing a weighted summation process on the regional first electric power equipment cost coefficient and the regional second electric power equipment cost coefficient to generate a regional electric power equipment supply rate.

In practice, first, the product of the first power equipment cost coefficient and the first cost coefficient weight may be determined as the first cost coefficient. The first value coefficient weight may be a preset weight corresponding to the first power equipment value coefficient of the area. Then, the product of the area second power equipment value coefficient and the second value coefficient weight may be determined as an area second weight power equipment value coefficient. The second value coefficient weight may be a preset weight corresponding to the second electrical equipment value coefficient of the region. Finally, the sum of the area first weight value coefficient and the area second weight value coefficient may be determined as the area power equipment supply rate.

The related content in the first step is taken as an invention point of the disclosure, thereby solving the technical problem two mentioned in the background art, that is, the purchasing information of the electric power equipment is difficult to obtain in time and the electric power equipment with lower quality is easy to purchase by adopting an offline statistical mode. The factors that tend to purchase lower quality power equipment are as follows: by adopting an offline statistical mode, the purchasing information of the power equipment is difficult to obtain in time, and the power equipment with lower quality is easy to purchase. If the factors are solved, the effect of avoiding purchasing the power equipment with lower quality again can be achieved. To achieve this effect, first, the ratio of the qualified electrical equipment acquisition attribute value to the electrical equipment acquisition attribute value included in the above-described electrical index basic information is determined as the area electrical equipment qualification rate. Therefore, the situation of the electric equipment meeting the standard in the purchased electric equipment can be known. And furthermore, when the qualification rate of the regional power equipment is low, purchasing the power equipment meeting the standard is increased. Secondly, weighted summation processing is carried out on the supply end circulation value attribute values included in the power index basic information to generate regional supply end circulation value attribute values. And then, determining the ratio of the regional supply end conversion value attribute value to the electric power equipment acquisition attribute value included in the electric power index basic information as the regional electric power equipment acquisition achievement rate. Therefore, the quality condition of the purchased electric power equipment can be known. For example, when the regional power equipment acquisition compliance rate is low, the supply end can be replaced, and the power equipment can be purchased at the supply end with higher power equipment quality. And then, determining the ratio of the first electric power equipment value attribute value included in the electric power index basic information to the first target electric power equipment value attribute value as a regional first electric power equipment value coefficient. Therefore, the situation that the purchased electric equipment is timely delivered can be known. Then, a ratio of the second power equipment value attribute value included in the above power index basic information to the second target power equipment value attribute value is determined as a regional second power equipment value coefficient. And finally, performing weighted summation processing on the regional first electric power equipment value coefficient and the regional second electric power equipment value coefficient to generate a regional electric power equipment supply rate. Thereby, the supply condition of the power equipment can be known. For example, when the supply rate of the regional power equipment is low, the power equipment of the supply end which can be timely purchased is increased. Therefore, when the power equipment with lower quality is purchased, the supply end can be replaced, and the power equipment is purchased at the supply end with higher quality of the power equipment so as to avoid purchasing the power equipment with lower quality again.

And secondly, generating a regional power index information set based on the power index basic information set, the regional power equipment timely acquisition rate set, the generated qualification rate of each regional power equipment, the acquisition standard-reaching rate of each regional power equipment and the supply rate of each regional power equipment. Wherein the power device analysis information includes: the number of electric devices, the number of first standard electric devices, the number of analyzable species of electric devices, the number of analyzable electric devices and the number of analyzable target electric devices. The power equipment service information includes: the method comprises the steps of obtaining a first standard quantity of electrical equipment, a second standard quantity of electrical equipment, a standard quantity of electrical equipment, an order quantity, a first order quantity and a second order quantity. The first standard number of power devices may be the number of power devices that pass the acceptance (for example, the criterion of passing the acceptance may be a criterion of passing voltage detection, current detection, short circuit detection, life detection, or the like). The analyzable species number may be a species number of electrical devices with detection capabilities (e.g., detection may include voltage detection, current detection, short circuit detection, life detection, etc.). The analyzable number of target electric devices may be the number of individual electric devices having detection capability. The analyzable number of electric devices may be a number actually detectable in each electric device having a detection capability. The standard number of the electric devices may be the number of electric device information in a standard library (for example, the standard library may be a preset standard library, and the electric device information included in the standard library may be electric device information conforming to the electric device information description, having a price index, having a device identification number, and the like). The first power equipment standard number may be the number of power equipment information in the standard library that conforms to the power equipment information description (e.g., the power equipment information description includes name, category, rated voltage, rated current, lifetime, etc.). The second standard quantity of the electric power equipment may be a quantity of the electric power equipment information including the price index in the standard library. The first order quantity may be an order quantity evaluated to be "satisfied". The second order quantity may be a quantity of orders that are completed within a predetermined time (e.g., the predetermined time may be, but is not limited to, five weekdays, seven weekdays, ten weekdays) from the time of order delivery.

in a first step, for each piece of basic information of the power index, the executing entity may perform the following processing substeps:

the first sub-step determines a ratio of a first standard power equipment number included in the power index basic information to the power equipment number as a first standard coefficient of the region.

And a second substep of determining a ratio of the number of analyzable types of the power equipment included in the basic information of the power index to the number of preset types of the power equipment as an area type analysis coefficient. Wherein the preset number of kinds of electric devices may be 30.

And a third substep of determining a ratio of the analyzable number of the power equipment included in the basic information of the power index to the analyzable number of the target power equipment as a region number analysis coefficient.

A fourth substep of determining a product of the area first standard coefficient, the area type analysis coefficient, and the area number analysis coefficient as an area power equipment analysis index.

In practice, the product of the area first standard coefficient, the area type analysis coefficient, and the area number analysis coefficient, which are described above, and 100% may be determined as the area power equipment analysis index.

And a fifth substep of determining a ratio of the first standard quantity of the power equipment to the standard quantity of the power equipment included in the basic information of the power index as a first qualified coefficient of the region.

And a sixth substep of determining a ratio of the standard number of the second power equipment to the standard number of the power equipment included in the basic information of the power index as a second pass coefficient of the region.

And a seventh substep of determining a ratio of the first order quantity and the order quantity included in the basic information of the power index as a region order satisfaction rate.

And an eighth substep of determining a ratio of the second order quantity to the order quantity included in the basic information of the power index as a region order completion rate.

And a ninth substep of performing a weighted summation process on the area first pass coefficient, the area second pass coefficient, the area order fulfillment rate, and the area order fulfillment rate to generate an area service fulfillment rate.

In practice, first, the product of the first qualified coefficient of the region and the first qualified weight may be determined as the first weight qualified coefficient. The first qualified weight may be a preset weight corresponding to the first qualified coefficient of the region. Secondly, the product of the second qualification coefficient of the region and the second qualification weight can be determined as the qualification coefficient of the second weight of the region. The second qualified weight may be a preset weight corresponding to the second qualified coefficient of the region. The product of the area order fulfillment rate and the first order weight may then be determined as the area weight order fulfillment rate. The first order weight may be a preset weight corresponding to the area order satisfaction rate. The product of the area order completion rate and the second order weight may then be determined as the area weight order completion rate. The second order weight may be a preset weight corresponding to the area order completion rate. Finally, the product of the first area weight qualification coefficient, the second area weight qualification coefficient, the area weight order satisfaction rate and the area weight order completion rate can be determined as an area service satisfaction rate.

And secondly, generating a regional power index information set based on the power index basic information set, the regional power equipment timely acquisition rate set, the generated qualification rate of each regional power equipment, the acquisition standard-reaching rate of each regional power equipment, the supply rate of each regional power equipment, the analysis index of each regional power equipment and the service satisfaction rate of each region. Wherein, the power equipment circulation information includes: the method comprises the following steps that a platform acquires an attribute value, a system acquires the attribute value, the return quantity of the temporary value attribute value, the target return quantity of the temporary value attribute value, the number of used files and the number of purchased files, and the analysis of user information comprises the following steps: the analysis user number, the target analysis user number, the first analysis user number, the second analysis user number and the third analysis user number, and the power equipment standard information includes: a third standard number of electrical devices and a target third standard number of electrical devices. The platform acquisition attribute value may be a total flow-to-value attribute value (total amount) of each electrical device purchased through the platform (for example, the platform may be a preset purchasing platform). The system acquisition attribute value may be a total running value attribute value (total amount) of each electric power equipment purchased in all the contracts signed by the system. The temporary value attribute value may be a deposit (e.g., a deposit that the user gives to the merchant) that the user who purchased the power equipment gives to the business personnel in the current area. The amount returned may be a number of credits paid back to the user purchasing the power device in time (e.g., a number of credits paid back to the user by the merchant). The target return amount may be a preset number of credits that should be returned to the user purchasing the power device in time (e.g., a number of credits that the user applies for the merchant to return). The number of files purchased may be the number of files purchased. The number of files used may be the number of files purchased for use. The file may be a file for purchasing power equipment, which is issued to a certain area. The number of analysis users may be the number of technicians (bid evaluation experts) who have entered the current area. The target analysis user number may be a preset number of technicians (bid evaluation experts) who should enter the current area. The first analysis user number may be the number of analysis users (bid evaluation experts participating in bid evaluation training) selected by the business person in the current area. The number of the second analysis users may be the number of the third analysis users (bid evaluation experts for application of the analyzed bid condition) selected by the service personnel of the current area. The third analysis user number may be the number of analysis users (bid evaluation experts who analyze the bid condition) who perform the analysis. The third standard number of power devices may be the number of devices that have completed device identification number (ID) tagging. The target third power device standard number may be the number of preset devices that should be marked with the device identification number.

the first substep is to determine the ratio of the platform acquisition attribute value and the system acquisition attribute value included in the basic information of the power index as the utilization rate of the regional platform. When the area platform utilization rate reaches a preset value (for example, the preset value may be 0.9), the calculation is performed according to a preset value (for example, the preset value may be 1).

And a second substep of determining a ratio of the return quantity included in the basic information of the power index to the target return quantity as the regional return rate.

And a third substep, determining the ratio of the number of the used files and the number of the purchased files included in the basic information of the power index as the utilization rate of the regional files. When the area file usage reaches a preset value (for example, the preset value may be 0.75), the calculation is performed according to a preset value (for example, the preset value may be 1).

And a fourth substep of performing weighted summation processing on the utilization rate of the regional platform, the regional return rate and the regional file utilization rate to generate regional procurement qualified rate.

In practice, first, the product of the above-mentioned area platform usage rate and the platform weight may be determined as the area weight platform usage rate. The platform weight may be a preset weight corresponding to the utilization rate of the platform in the area. Secondly, the product of the region return rate and the return weight can be determined as the region weight return rate. Wherein, the return weight may be a preset weight of the return rate of the corresponding area. Then, the product of the above region file usage rate and the file weight may be determined as the region weight file usage rate. The file weight may be a preset weight corresponding to the file usage rate of the region. And finally, determining the sum of the utilization rate of the area weight platform, the return rate of the area weight and the utilization rate of the area weight file as the area purchase qualified rate.

And a fifth substep of determining a ratio of the number of analysis users included in the basic information of the power index to the number of target analysis users as a first analysis user index of the region.

And a sixth substep of determining a ratio of the number of first analysis users to the number of analysis users included in the power index basic information as a second analysis user index of the region.

And a seventh substep of determining a ratio of the number of second analysis users to the number of third analysis users included in the power index basic information as a regional third analysis user index.

And an eighth substep of performing weighted summation processing on the regional first analysis user index, the regional second analysis user index and the regional third analysis user index to generate a regional analysis user standard rate.

In practice, first, the product of the above-mentioned regional first analysis user index and the first analysis weight may be determined as a regional first weight analysis user index. The first analysis weight may be a preset weight corresponding to the first analysis user index of the region. Secondly, the product of the second analysis user index of the region and the second analysis weight can be determined as the second weight analysis user index of the region. The second analysis weight may be a preset weight of the second analysis user index in the corresponding region. Then, the product of the third analysis user index of the region and the third analysis weight may be determined as a third weight analysis user index of the region. The third analysis weight may be a preset weight of the third analysis user index in the corresponding region. And finally, determining the sum of the area first weight analysis user index, the area second weight analysis user index and the area third weight analysis user index as an area analysis user standard rate.

And a ninth substep of determining a ratio of the standard number of the third power equipment included in the power index basic information to the target standard number of the third power equipment as the standard rate of the regional power equipment.

In practice, first, the ratio of the third standard number of power devices included in the above-mentioned basic information of the power index to the target third standard number of power devices may be determined as the area power device standard ratio. Then, the product of the above area power equipment standard ratio and 100% may be determined as the area power equipment standard ratio.

And a tenth sub-step of combining the timely acquisition rate of the regional power equipment, the qualification rate of the regional power equipment, the acquisition standard-reaching rate of the regional power equipment, the supply rate of the regional power equipment, the analysis index of the regional power equipment, the satisfaction rate of the regional service, the qualification rate of the regional purchase, the standard rate of the regional analysis user and the standard rate of the regional power equipment corresponding to the basic information of the power index into regional power index information.

And a second step of determining each of the generated regional power index information as a regional power index information set.

And 107, generating target power index information based on the power index basic information set and the target power equipment timely acquisition rate.

In some embodiments, the execution subject may generate the target power index information based on the set of power index basic information and the target power device timely acquisition rate.

In practice, the execution subject may generate the target power index information by:

and step one, determining the average value of the determined qualified rates of the electric devices of the areas as the qualified rate of the target electric device.

And secondly, determining the average value of the determined standard-reaching rates of the electric power equipment in each area as the target electric power equipment acquisition standard-reaching rate.

And a third step of determining an average value of the generated individual zone power equipment supply rates as a target power equipment supply rate.

And fourthly, determining the average value of the determined analysis indexes of the electric equipment in each area as a target analysis index of the electric equipment.

And fifthly, determining the average value of the generated service satisfaction rates of the areas as a target service satisfaction rate.

And sixthly, determining the average value of the generated purchasing qualified rates of all the areas as a target purchasing qualified rate.

And seventhly, determining the average value of the generated standard rates of the analysis users of the areas as the standard rate of the target analysis user.

And eighthly, determining the average value of the determined standard rates of the power equipment in each area as the standard rate of the target power equipment.

And a ninth step of combining the target power equipment timely acquisition rate, the target power equipment qualification rate, the target power equipment acquisition standard-reaching rate, the target power equipment supply rate, the target power equipment analysis index, the target service satisfaction rate, the target purchase qualification rate, the target analysis user standard rate and the target power equipment standard rate into target power index information.

Optionally, the method further includes:

the method comprises the steps of firstly, sending the regional power index information set and the target power index information to a related power equipment monitoring terminal for displaying.

In some embodiments, the execution subject may send the set of regional power indicator information and the target power indicator information to an associated power equipment monitoring terminal for display.

And secondly, scheduling the electric power equipment transport vehicles corresponding to each region according to the region electric power index information set.

In some embodiments, the execution subject may schedule the electric power equipment transportation vehicle corresponding to each region according to the regional electric power index information set. For example, when the purchased electric equipment in a certain area is insufficient, the transportation vehicle can be scheduled to transport the purchased electric equipment to the area.

The above embodiments of the present disclosure have the following advantages: through the electric power index information generation method of some embodiments of the present disclosure, the repeated scheduling of transport vehicles to transport electric power equipment can be avoided. Specifically, the reason why it is necessary to repeatedly schedule the transportation vehicle to transport the electric power equipment is that: the method of off-line statistics is adopted, purchasing information of the power equipment is difficult to obtain in time, and when the power equipment is not purchased sufficiently, a transport vehicle needs to be dispatched repeatedly to transport the power equipment. Based on this, the power index information generation method of some embodiments of the present disclosure first obtains the power index basic information of each area within a preset time period, to obtain a power index basic information set. The preset time period includes a first time period, a second time period and a third time period, and the power index basic information in the power index basic information set includes: the power equipment acquires information, and the power equipment acquires information including: the target power equipment acquisition number, the first power equipment acquisition number corresponding to the first time period, the second power equipment acquisition number corresponding to the second time period, and the third power equipment acquisition number corresponding to the third time period. Secondly, for each piece of basic information of the power index in the basic information set of the power index, the first power equipment acquisition number, the second power equipment acquisition number and the third power equipment acquisition number included in the basic information of the power index are subjected to weighted summation processing to generate an area power equipment acquisition number. Therefore, calculation can be carried out according to different planned closed-loop time periods and different weights, so that the time length required by purchased electric equipment can be estimated. For example, when a procurement plan completes more slowly, the weight is lower, indicating that the procurement plan should be completed more quickly. Then, for each generated regional power equipment, power index basic information of which the number corresponds to the obtained number of the regional power equipment is obtained, and a ratio of the obtained number of the regional power equipment to a target power equipment obtaining number included in the power index basic information is determined as a regional power equipment timely obtaining rate. Therefore, the timely acquisition rate of the power equipment in each area can be obtained, and the difference of the timely acquisition rate of the power equipment among the areas can be conveniently compared, so that business personnel in each area can conveniently adjust the purchasing plan of each area. For example, when the timely acquisition rate of the regional power equipment is low, the completion of the purchasing plan is accelerated, and more power equipment is purchased by a transport vehicle. And then, determining the average value of the determined timely acquisition rates of the electric power equipment in each area as the timely acquisition rate of the target electric power equipment. And then, determining the timely acquisition rate of each determined regional power device as a regional power device timely acquisition rate set. And then, generating a regional power index information set based on the power index basic information set and the regional power equipment timely acquisition rate set. This makes it possible to obtain purchase information of the electric power equipment in each area. And finally, generating target electric power index information based on the electric power index basic information set and the target electric power equipment timely acquisition rate. Therefore, the overall purchasing information of the power equipment can be acquired in time, and the overall purchasing information of the power equipment in each area can be known conveniently. For example, when the procurement of electrical equipment is insufficient, the transit vehicle may be scheduled to procure more electrical equipment. Therefore, repeated dispatching of the transport vehicle to transport the power equipment is avoided.

With further reference to fig. 2, as an implementation of the methods illustrated in the above figures, the present disclosure provides some embodiments of a power index information generation apparatus, which correspond to those illustrated in fig. 1, and which may be particularly applicable in various electronic devices.

As shown in fig. 2, the power index information generation apparatus 200 of some embodiments includes: an acquisition unit 201, a first processing unit 202, a first determination unit 203, a second processing unit 204, a second determination unit 205, a first generation unit 206, and a second generation unit 207. The obtaining unit 201 is configured to obtain basic information of power indexes of each area within a preset time period, and obtain a set of basic information of the power indexes, where the preset time period includes a first time period, a second time period, and a third time period, and the basic information of the power indexes in the set of basic information of the power indexes includes: the power equipment acquires information, and the power equipment acquires information including: acquiring the number of target power equipment, acquiring the number of first power equipment corresponding to the first time period, acquiring the number of second power equipment corresponding to the second time period and acquiring the number of third power equipment corresponding to the third time period; a first processing unit 202 configured to perform, for each piece of power index basic information in the set of power index basic information, weighted summation processing on a first power equipment acquisition number, a second power equipment acquisition number, and a third power equipment acquisition number included in the set of power index basic information to generate a regional power equipment acquisition number; a first determination unit 203 configured to, for each generated regional power device acquisition number, acquire power index basic information corresponding to the generated regional power device acquisition number, and determine a ratio of the regional power device acquisition number to a target power device acquisition number included in the power index basic information as a regional power device in-time acquisition rate; a second processing unit 204 configured to determine an average value of the determined respective regional power device in-time acquisition rates as a target power device in-time acquisition rate; a second determining unit 205 configured to determine the determined respective regional power device in-time acquisition rates as a set of regional power device in-time acquisition rates; a first generating unit 206 configured to generate a regional power index information set based on the power index basic information set and the regional power equipment timely acquisition rate set; a second generating unit 207 configured to generate target power index information based on the set of power index basic information and the target power device timely acquisition rate.

It is to be understood that the units described in the power index information generation apparatus 200 correspond to the respective steps in the method described with reference to fig. 1. Therefore, the operations, features and beneficial effects of the method described above are also applicable to the power indicator information generating apparatus 200 and the units included therein, and are not described herein again.

Referring now to FIG. 3, shown is a schematic block diagram of an electronic device (e.g., computing device) 300 suitable for use in implementing some embodiments of the present disclosure. The electronic device in some embodiments of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 3, the electronic device 300 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM303, various programs and data necessary for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM302, and the RAM303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.

Generally, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 308 including, for example, magnetic tape, hard disk, etc.; and a communication device 309. The communication means 309 may allow the electronic device 300 to communicate wirelessly or by wire with other devices to exchange data. While fig. 3 illustrates an electronic device 300 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 3 may represent one device or may represent multiple devices, as desired.

In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. The computer program, when executed by the processing apparatus 301, performs the above-described functions defined in the methods of some embodiments of the present disclosure.

It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring basic information of a power index of each area in a preset time period to obtain a basic information set of the power index, wherein the preset time period comprises a first time period, a second time period and a third time period, and the basic information of the power index in the basic information set of the power index comprises: the power equipment acquires information, and the power equipment acquires information including: acquiring the number of target power equipment, the acquiring number of first power equipment corresponding to the first time period, the acquiring number of second power equipment corresponding to the second time period and the acquiring number of third power equipment corresponding to the third time period; for each piece of basic information of the power index in the basic information set of the power index, performing weighted summation processing on the first power equipment acquisition number, the second power equipment acquisition number and the third power equipment acquisition number included in the basic information of the power index to generate an area power equipment acquisition number; acquiring power index basic information of which the number corresponds to the acquired number of the regional power equipment for each generated regional power equipment, and determining the ratio of the acquired number of the regional power equipment to the acquired number of the target power equipment included in the power index basic information as a timely acquisition rate of the regional power equipment; determining the average value of the determined timely acquisition rates of the electric power equipment in each area as the timely acquisition rate of the target electric power equipment; determining the timely acquisition rate of each determined regional power equipment as a regional power equipment timely acquisition rate set; generating a regional power index information set based on the power index basic information set and the regional power equipment timely acquisition rate set; and generating target power index information based on the power index basic information set and the target power equipment timely acquisition rate.

Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a first processing unit, a first determination unit, a second processing unit, a second determination unit, a first generation unit, and a second generation unit. Here, the names of the units do not constitute a limitation on the units themselves in some cases, and for example, the acquisition unit may also be described as "acquiring power index basic information of each area within a preset time period, resulting in a power index basic information set".

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems on a chip (SOCs), complex Programmable Logic Devices (CPLDs), and the like.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.

Claims

1. A power index information generation method includes:

acquiring basic information of a power index of each area in a preset time period to obtain a basic information set of the power index, wherein the preset time period comprises a first time period, a second time period and a third time period, and the basic information of the power index in the basic information set of the power index comprises: the power equipment acquires information, the power equipment acquires information including: acquiring the number of target power equipment, acquiring the number of first power equipment corresponding to the first time period, acquiring the number of second power equipment corresponding to the second time period and acquiring the number of third power equipment corresponding to the third time period;

for each piece of basic information of the power index in the set of basic information of the power index, performing weighted summation processing on the acquired number of the first power equipment, the acquired number of the second power equipment and the acquired number of the third power equipment which are included in the basic information of the power index to generate an acquired number of regional power equipment;

acquiring power index basic information corresponding to the generated acquisition quantity of each regional power device, and determining a ratio of the acquisition quantity of the regional power devices to the acquisition quantity of target power devices included in the power index basic information as a timely acquisition rate of the regional power devices;

determining the average value of the determined timely acquisition rates of the electric power equipment in each area as the timely acquisition rate of the target electric power equipment;

determining the timely acquisition rate of each determined regional power device as a regional power device timely acquisition rate set;

generating a regional power index information set based on the power index basic information set and the regional power equipment timely acquisition rate set;

and generating target power index information based on the power index basic information set and the target power equipment timely acquisition rate.

2. The method of claim 1, wherein the power metric base information of the set of power metric base information further comprises: the power equipment qualification information, the supply end transition value attribute value group, the power equipment value information, the power equipment analysis information, the power equipment service information, the power equipment transition information, the analysis user information, and the power equipment standard information.

3. The method according to one of claims 1-2, wherein the method further comprises:

sending the regional power index information set and the target power index information to an associated power equipment monitoring terminal for display;

and scheduling the electric power equipment transportation vehicles corresponding to each region according to the region electric power index information set.

4. A power index information generation apparatus comprising:

the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is configured to acquire power index basic information of each area in a preset time period, and obtain a power index basic information set, the preset time period comprises a first time period, a second time period and a third time period, and the power index basic information in the power index basic information set comprises: the power equipment acquires information, the power equipment acquires information including: acquiring the number of target power equipment, acquiring the number of first power equipment corresponding to the first time period, acquiring the number of second power equipment corresponding to the second time period and acquiring the number of third power equipment corresponding to the third time period;

a first processing unit configured to perform, for each of the sets of power index basic information, weighted summation processing on a first power equipment acquisition number, a second power equipment acquisition number, and a third power equipment acquisition number included in the power index basic information to generate a regional power equipment acquisition number;

a first determination unit configured to acquire, for each of the generated regional power devices, power index basic information whose number corresponds to the regional power device acquisition number, and determine a ratio of the regional power device acquisition number to a target power device acquisition number included in the power index basic information as a regional power device in-time acquisition rate;

a second processing unit configured to determine an average value of the determined respective regional power device in-time acquisition rates as a target power device in-time acquisition rate;

a second determining unit configured to determine the determined respective regional power device in-time acquisition rates as a set of regional power device in-time acquisition rates;

a first generation unit configured to generate a set of regional power index information based on the set of power index basic information and the set of regional power equipment timely acquisition rates;

a second generation unit configured to generate target power index information based on the set of power index basic information and the target power device timely acquisition rate.

5. An electronic device, comprising:

one or more processors;

a storage device having one or more programs stored thereon;

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-3.

6. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-3.