Communication light distribution intelligent management optimization system

Abstract

The invention relates to the technical field of data analysis, in particular to a communication light distribution intelligent management optimization system, which comprises an engineering processing module, an information acquisition and division module, an information integration module, a resource management and control module and a data analysis module. According to the method, the periodic consumption ratio of a plurality of resources in the project engineering is analyzed, the detection data set is established according to the periodic consumption ratio, the collaborative consumption parameters are obtained by evaluating the detection data set, and the consistency of year-on-year consumption of the consumed resources is reflected; the abnormal quantity of the detection data set is obtained through a data analysis module, the characteristic value of the detection data set is calculated according to the abnormal quantity, the demand distribution quantity is calculated according to the characteristic value, the demand distribution quantity is evaluated, the supervision resource quantity is distributed and controlled according to the evaluation result, and it is guaranteed that enough supervision resource quantity exists in the stock construction period. Intelligent and fine management of resource quantity distribution supervision in the light distribution construction process is improved, and the supervision effect is optimized.

Description

Technical Field

[0001] The present invention relates to the field of data analysis technology, and in particular to a communication optical distribution intelligent management optimization system. Background Art

[0002] Optical distribution refers to optical fiber wiring, which mainly involves the planning, design, construction and maintenance of optical fiber communications. The construction, supervision and optimization of communication optical distribution networks are key links to ensure efficient and stable data transmission. However, there are a series of management issues in the construction of optical distribution networks, which require supervision and optimization of the construction process.

[0003] For example, the patent document with application number 202311374120.3 discloses a construction project information management method and system, including obtaining historical project construction data, and classifying the project categories of the historical project construction data to obtain historical classified data; obtaining project data, and reading the historical classified data accordingly, and analyzing the project data to obtain the project's engineering index; obtaining project plan data, and performing similarity matching between the project plan data and the specific historical project construction data in the historical classified data to obtain similarity matching data; based on the similarity matching data, reading the corresponding historical project construction data, and optimizing the project plan data according to the historical project construction data to generate an optimization report to the client; according to the similarity matching data, obtaining the project leader of the historical project construction data, and arranging and transferring personnel according to the project leader's work progress and engineering index.

[0004] However, the management method in the above patent document is limited to the arrangement and transfer of personnel, and there are a series of resource utilization ratio mismatch problems in the construction process. For example, a large amount of human resources are spent on a sub-project, but other resources such as material resources or technical resources are spent less. In this case, there is an imbalance in resource utilization in the process, which requires the intervention of regulatory resources, such as related testing and maintenance. At the same time, the above patent document is unable to analyze project inventory and reasonably allocate regulatory resources, which reduces reliability and poor project management results. Summary of the invention

[0005] The purpose of the present invention is to solve the problems in the background technology and to propose a communication optical distribution intelligent management and optimization system.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a communication optical distribution intelligent management optimization system, including an engineering processing module, which is used to obtain a project engineering and take it as a target engineering, obtain a project plan of the target engineering, process the project plan, obtain key project information and project resources, quantify the project resources to obtain the total resource amount of the project resources, and divide the total resource amount into a construction resource amount and a supervision resource amount;

[0007] The information collection and division module is used to collect a number of actual consumption resources corresponding to a number of project resources through a number of different collection devices; determine the detection cycle according to the project duration, and divide the project duration into a calculation duration and a stock duration;

[0008] The information integration module counts the consumption of different resources in the construction resources within the detection cycle to obtain the cycle resource consumption, calculates the ratio of the cycle resource consumption to the detection cycle length to obtain the cycle consumption ratio, establishes a detection data set based on the cycle consumption ratios of different types of resources, and evaluates the collaborative consumption parameters of the detection data set;

[0009] The data analysis module performs data analysis on the collaborative consumption parameter. If the collaborative consumption parameter is not greater than the standard collaborative threshold, the collaborative consumption parameter is marked as a high collaborative parameter; otherwise, the collaborative consumption parameter is marked as a low collaborative parameter; the detection data set corresponding to the high collaborative parameter is marked as a regular data set, and the detection data set corresponding to the low collaborative parameter is marked as an abnormal data set;

[0010] Generate an anomaly model based on the normal data set and the abnormal data set and calculate the anomaly of the detection data set, calculate the characteristic value of the detection data set based on the anomaly, and calculate the characteristic mean of the target project based on the characteristic value of the data set;

[0011] Calculate the demand allocation of supervision resources in the detection cycle according to the characteristic values ​​of the detection data set;

[0012] The resource management and control module is used to obtain the intermediate time points of the project duration, establish an evaluation model based on the intermediate time points and characteristic means, input the demand allocation into the evaluation model for evaluation, obtain the evaluation results, and adjust the allocation of the remaining resources based on the evaluation results.

[0013] As a further solution of the present invention, the quantification method of project resources is:

[0014] By quantifying the formula Calculate the total resource volume ZL of the project resources, where ZYi is the resource component of different types of resources, wi is the quantization coefficient of the resource component, i is the resource type number, i is a positive integer, i∈[1,n], and n is the total number of resource types;

[0015] The total resources are divided as follows:

[0016] The construction resource volume is obtained by multiplying the total resource volume ZL by the standard proportion coefficient, and the regulatory resource volume is obtained by calculating the difference between the total resource volume ZL and the construction resource volume.

[0017] As a further solution of the present invention, the method of dividing the project duration is:

[0018] The project sub-projects are numbered, and the numbers of the completed project sub-projects are marked as the target numbers. The sum of the reasonable durations corresponding to the target numbers is calculated and used as the calculated duration. The difference between the project duration and the calculated duration is calculated to obtain the stock duration.

[0019] As a further solution of the present invention, a method for evaluating the collaborative consumption parameter of the detection data set is:

[0020] A calculation sequence is established according to the cycle consumption ratios corresponding to different types of resources, the first element in the calculation sequence is marked as a target element, the target element is sequentially and the elements numbered 2, 3, ..., n in the first sequence are calculated by absolute difference to obtain a number of resource consumption differences between the target element and subsequent elements in the first sequence, the number of resource consumption differences is summed to obtain interference parameters between the target element and other elements in the calculation sequence, and the number of resource consumption differences is counted to obtain the total number of operations of the target element;

[0021] Then mark the second element in the calculation sequence as the target element, and obtain the interference parameters and the total number of operations of all elements in the calculation sequence in turn;

[0022] Calculate the formula by co-consumption parameters The collaborative consumption parameter XC of the monitoring data set is calculated; GSj is the interference parameter of the target element, and Zj is the total number of operations of the target element.

[0023] As a further solution of the present invention, the method for implementing allocation of supervision resources is:

[0024] An abnormal quantity model is established, and the expression of the abnormal quantity model is:

[0025] YC is the amount of anomalies in the detection data set;

[0026] The resource consumption difference ZCi is obtained by calculating the difference between the cycle consumption ratios of two adjacent detection cycles corresponding to the same resource; the resource deviation value Fi of the resource consumption difference ZCi is calculated by the deviation formula Fi=ZCi-PC; PC is the average consumption difference, which is obtained by calculating the mean of several resource consumption differences ZCi.

[0027] As a further solution of the present invention, data analysis is performed on the resource deviation value Fi;

[0028] If the resource deviation value Fi belongs to the standard deviation range, the resource consumption difference ZCi corresponding to the resource deviation value Fi is marked as the conventional consumption difference CCi; if the resource deviation value Fi is greater than the maximum value of the standard deviation range, the resource consumption difference ZCi corresponding to the resource analysis value Fi is marked as the high consumption difference; if the resource deviation value Fi is less than the maximum value of the standard deviation range, the resource consumption difference ZCi corresponding to the resource analysis value Fi is marked as the low consumption difference.

[0029] As a further solution of the present invention, the number of high-order consumption differences and low-order consumption differences is counted and recorded as the total number of high-order consumption differences GZ and the total number of low-order consumption differences DZ, respectively. The total number of high-order consumption differences GZ and the total number of low-order consumption differences DZ are compared to obtain the maximum value of the total number of consumption differences and the minimum value of the total number of consumption differences. The resource consumption difference ZCi corresponding to the maximum value of the total number of consumption differences is marked as the general consumption difference YPa, and the resource consumption difference ZCi corresponding to the minimum value of the total number of consumption differences is marked as the target consumption difference MPb; a is the number of the general consumption difference, and b is the number of the target consumption difference;

[0030] If the total number of high average differences GZ and the total number of low average differences DZ are equal, the first standard deviation of several high consumption differences GCi and the second standard deviation of several low consumption differences DCi are calculated respectively through the standard deviation calculation formula, and the corresponding resource consumption differences ZCi are marked as general consumption differences YPa and target consumption differences MPb according to the size of the first standard deviation and the second standard deviation.

[0031] As a further solution of the present invention, through the characteristic formula:

[0032]

[0033] The characteristic value TZ of the detection data set is calculated, and the required allocation amount XP of the supervision resource amount in the corresponding detection cycle of the data set is calculated by the allocation amount calculation formula XP=k×TZ. The remaining resource amount is obtained by performing a difference operation between the supervision resource amount and the required allocation amount XP; k is the demand proportion coefficient.

[0034] As a further solution of the present invention, the method for establishing the evaluation model is:

[0035] A two-dimensional coordinate system (x, y) is established with the calculated duration as the horizontal axis and the allocated resource ratio as the vertical axis. The duration of the project is obtained and recorded as A. The first coordinate (A / 2, 0) of the middle time point and the second coordinate (A, 0) of the end time point are established on the two-dimensional coordinate system.

[0036] A / 2 is used as the mean μ, and the characteristic mean TP is used as the standard deviation (σ) to draw a normal distribution curve. According to the first coordinate (A / 2, 0) and the second coordinate (A, 0), the boundary curves x=A / 2 and x=A are drawn. According to the boundary curves x=A / 2 and x=A, the normal distribution curve is intercepted as a reference curve segment. The reference function of the reference curve segment is F1(x).

[0037] According to the reference function F1(x), a standard distribution density function F2(x) = F1(x) + h is constructed, where h is the upward translation amount, h>0, so that F2(x) satisfies the distribution density integral relationship

[0038] As a further solution of the present invention, the calculated duration corresponding to the project sub-project is obtained and recorded as x0, the standard allocation amount F2(x0) is calculated according to the standard allocation density function, and the standard allocation amount F2(x0) is compared with the demand allocation amount XP; if the demand allocation amount XP is not greater than the standard allocation amount F2(x0), a cumulative allocation instruction is generated; if the demand allocation amount XP is greater than the standard allocation amount F2(x0), a judgment allocation instruction is generated;

[0039] Allocate the supervised resource amount according to the demand allocation amount XP according to the cumulative allocation instruction, and perform a difference operation between the standard allocation amount F2(x0) and the demand allocation amount XP to obtain the cumulative allocation amount, and put the cumulative allocation amount into the accumulation pool; determine whether there is a sufficient allocation amount according to the standard allocation instruction;

[0040] If there is sufficient allocation, the regulatory resources are allocated according to the cumulative allocation and the standard allocation F2(x0); if there is no sufficient allocation, the regulatory resources are allocated according to the standard allocation F2(x0);

[0041] After implementing the allocation of regulatory resources, the abnormal amount YC of the data set is traced and analyzed. If YC is not 0, an accumulation pool application instruction is generated; if YC is 0, an accumulation pool termination instruction is generated;

[0042] Continue to apply for the accumulated allocation amount from the accumulation pool according to the accumulation pool application instruction; terminate the use of the accumulated allocation amount in the accumulation pool according to the accumulation pool termination instruction.

[0043] The advantages of the present invention are: by analyzing the cycle consumption ratio of several resources in the project engineering, and establishing a detection data set according to the cycle consumption ratio, the collaborative consumption parameters are obtained by evaluating the detection data set to reflect the consistency of the year-on-year consumption of the consumed resources; the abnormal amount of the detection data set is obtained through the data analysis module, the characteristic value of the detection data set is calculated according to the abnormal amount, the demand allocation amount is calculated according to the characteristic value, and the demand allocation amount is evaluated, and the supervision resource amount is allocated and controlled according to the evaluation result to ensure that there is a sufficient amount of supervision resources in the stock construction period, improve the intelligent and refined management of the supervision resource allocation in the optical distribution construction process, and optimize the supervision effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a module flow chart of the present invention. DETAILED DESCRIPTION

[0045] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0046] In the description of the present invention, it is necessary to understand that the terms "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0047] Reference Figure 1 , a communication optical distribution intelligent management and optimization system, including an engineering processing module, for obtaining a project engineering and taking it as a target engineering, obtaining a project plan of the target engineering, processing the project plan, obtaining key project information and project resources, quantifying the project resources to obtain a total resource amount of the project resources, and dividing the total resource amount into a construction resource amount and a supervision resource amount;

[0048] The method for processing the project plan adopts text processing technology, establishes key search terms and several general search terms according to the types of resources required by the project plan, searches the text of the project plan according to the key search terms and several general search terms, obtains key search information and several general search information, and combines several general search information to obtain project resources; the key search information is the project sub-project and the reasonable duration corresponding to the project sub-project, sums up the reasonable duration corresponding to the project sub-project to obtain the project duration, takes the project duration as the key project information, and combines the project sub-project and the project duration to obtain the project resources; the several general search information can be human resources, material resources, technical resources and financial resources, etc.; the text processing technology is an existing technology and will not be repeated here;

[0049] The quantification method of project resources is:

[0050] By quantifying the formula Calculate the total resource volume ZL of the project resources, where ZYi is the resource component of different types of resources, wi is the quantization coefficient of the resource component, i is the resource type number, i is a positive integer, i∈[1,n], and n is the total number of resource types;

[0051] The total resources are divided as follows:

[0052] The construction resource volume is obtained by multiplying the total resource volume ZL by the standard ratio coefficient, and the regulatory resource volume is obtained by performing a difference calculation between the total resource volume ZL and the construction resource volume; the standard ratio coefficient is calculated based on the historical big data obtained from the completion of several project projects; the standard ratio coefficient can be taken as 80%;

[0053] The information collection and division module is used to collect a number of actual consumption resources corresponding to a number of project resources through a number of different collection devices; determine the detection cycle according to the project duration, and divide the project duration into a calculation duration and a stock duration;

[0054] The method of dividing the project duration is as follows:

[0055] Number the project sub-projects, mark the numbers of the completed project sub-projects as the target numbers, calculate the sum of the reasonable durations corresponding to the target numbers and use it as the calculated duration; calculate the difference between the project duration and the calculated duration to get the stock duration; the duration of the detection cycle can be set to 1 / N of the duration of the project duration, where N is a positive integer and can be 20;

[0056] The information integration module counts the consumption of different resources in the construction resources within the detection cycle to obtain the cycle resource consumption, calculates the ratio of the cycle resource consumption to the detection cycle length to obtain the cycle consumption ratio, establishes a detection data set based on the cycle consumption ratios of different types of resources, and evaluates the collaborative consumption parameters of the detection data set;

[0057] The method to evaluate the co-consumption parameter of the detection dataset is:

[0058] A calculation sequence is established according to the cycle consumption ratios corresponding to different types of resources, the first element in the calculation sequence is marked as a target element, the target element is sequentially and the elements numbered 2, 3, ..., n in the first sequence are calculated by absolute difference to obtain a number of resource consumption differences between the target element and subsequent elements in the first sequence, the number of resource consumption differences is summed to obtain interference parameters between the target element and other elements in the calculation sequence, and the number of resource consumption differences is counted to obtain the total number of operations of the target element;

[0059] Then mark the second element in the calculation sequence as the target element, and perform absolute difference calculations on the target element and the elements numbered 3, 4, ..., n in the first sequence in turn to obtain the resource consumption differences between the target element and the subsequent elements in the first sequence, and obtain the interference parameters and the total number of operations of all elements in the calculation sequence in turn;

[0060] Calculate the formula by co-consumption parameters The collaborative consumption parameter XC of the monitoring data set is calculated; GSj is the interference parameter of the target element, Zj is the total number of operations of the target element, j is the element number in the calculation sequence, j is a positive integer, i∈[1,n], and n is the total number of resource types; the collaborative consumption parameter XC is updated according to the detection cycle; if the detection data set is {1, 2, 3, 4, 5}, the resource type is 5, 1 is first used as the target element, the interference parameter of the target element is |1-2|+|1-3|+|1-4|+|1-5|=10, the number of operations of the target element is 4, and the interference parameters and the number of operations of 2, 3, 4 and 5 are obtained in turn; the collaborative consumption parameter XC of the evaluation sequence is calculated as

[0061] The collaborative consumption parameter XC indicates the year-on-year consumption consistency of resources consumed in different periods. The lower the collaborative consumption parameter XC is, the higher the year-on-year consumption consistency of resources consumed in different periods is, that is, the better the collaboration of the project and the higher the degree of control;

[0062] The data analysis module performs data analysis on the collaborative consumption parameter. If the collaborative consumption parameter is not greater than the standard collaborative threshold, the collaborative consumption parameter is marked as a high collaborative parameter; otherwise, the collaborative consumption parameter is marked as a low collaborative parameter; the detection data set corresponding to the high collaborative parameter is marked as a regular data set, and the detection data set corresponding to the low collaborative parameter is marked as an abnormal data set; the standard collaborative threshold is calculated based on the historical big data obtained from the completion of several project projects;

[0063] Generate an anomaly model based on the regular data set and the abnormal data set and calculate the anomaly of the detection data set. Calculate the characteristic value of the detection data set based on the anomaly, and calculate the characteristic mean of the target project based on the characteristic value of the data set; the characteristic mean TP is obtained by summing and averaging the characteristic values ​​TZ corresponding to several data sets in different detection cycles in the target project;

[0064] The method for allocating regulatory resources is as follows:

[0065] An abnormal quantity model is established, and the expression of the abnormal quantity model is:

[0066] YC is the amount of anomalies in the detection data set;

[0067] The resource consumption difference ZCi is obtained by calculating the difference between the cycle consumption ratios of two adjacent detection cycles corresponding to the same resource; the resource deviation value Fi of the resource consumption difference ZCi is calculated by the deviation formula Fi=ZCi-PC; PC is the average consumption difference, which is obtained by calculating the average of several resource consumption differences ZCi;

[0068] Perform data analysis on the resource deviation value Fi;

[0069] If the resource deviation value Fi belongs to the standard deviation range, the resource consumption difference ZCi corresponding to the resource deviation value Fi is marked as the conventional consumption difference CCi; if the resource deviation value Fi is greater than the maximum value of the standard deviation range, the resource consumption difference ZCi corresponding to the resource analysis value Fi is marked as the high consumption difference; if the resource deviation value Fi is less than the maximum value of the standard deviation range, the resource consumption difference ZCi corresponding to the resource analysis value Fi is marked as the low consumption difference; the standard deviation range is calculated based on the historical big data obtained from the completion of several project projects;

[0070] The number of high-order consumption differences and low-order consumption differences is counted and recorded as the total number of high-order consumption differences GZ and the total number of low-order consumption differences DZ, respectively. The total number of high-order consumption differences GZ and the total number of low-order consumption differences DZ are compared to obtain the maximum value of the total number of consumption differences and the minimum value of the total number of consumption differences. The resource consumption difference ZCi corresponding to the maximum value of the total number of consumption differences is marked as the general consumption difference YPa, and the resource consumption difference ZCi corresponding to the minimum value of the total number of consumption differences is marked as the target consumption difference MPb; a is the number of the general consumption difference, a is a positive integer, a∈[1, Max(GZ, DZ)], where Max(GZ, DZ) represents the maximum value of the total number of high-order consumption differences GZ and the total number of low-order consumption differences DZ; b is the number of the target consumption difference, b is a positive integer, a∈[1, Min(GZ, DZ)], where Min(GZ, DZ) represents the minimum value of the total number of high-order consumption differences GZ and the total number of low-order consumption differences DZ;

[0071] If the total number of high average differences GZ and the total number of low average differences DZ are equal, the first standard deviation of several high consumption differences GCi and the second standard deviation of several low consumption differences DCi are calculated respectively by the standard deviation calculation formula, and the corresponding resource consumption differences ZCi are marked as general consumption differences YPa and target consumption differences MPb respectively according to the size of the first standard deviation and the second standard deviation; the standard deviation calculation formula is the prior art and will not be repeated here;

[0072] By the characteristic formula:

[0073]

[0074] The characteristic value TZ of the detection data set is calculated, and the required allocation amount XP of the supervision resource amount in the corresponding detection period of the data set is calculated by the allocation amount calculation formula XP=k×TZ. The remaining resource amount is obtained by performing a difference operation between the supervision resource amount and the required allocation amount XP; k is the demand ratio coefficient;

[0075] The resource control module is used to obtain the intermediate time points of the project duration, establish an evaluation model based on the intermediate time points and the characteristic mean, input the resource allocation into the evaluation model for evaluation, obtain the evaluation results, and adjust the allocation of the remaining resources according to the evaluation results;

[0076] The method to build the evaluation model is:

[0077] A two-dimensional coordinate system (x, y) is established with the calculated duration as the horizontal axis and the allocated resource ratio as the vertical axis. The unit of the calculated duration is day. The duration of the project is obtained and recorded as A. The first coordinate (A / 2, 0) of the middle time point and the second coordinate (A, 0) of the end time point are established on the two-dimensional coordinate system.

[0078] A / 2 is used as the mean μ, and the characteristic mean TP is used as the standard deviation (σ) to draw a normal distribution curve. According to the first coordinate (A / 2, 0) and the second coordinate (A, 0), the boundary curves x = A / 2 and x = A are drawn. According to the boundary curves x = A / 2 and x = A, the normal distribution curve is intercepted as a reference curve segment. The reference function of the reference curve segment is F1(x), x∈[0, A];

[0079] According to the reference function F1(x), a standard distribution density function F2(x) = F1(x) + h is constructed, where h is the upward translation amount, h>0, so that F2(x) satisfies the distribution density integral relationship

[0080] Obtain the calculated duration corresponding to the project sub-project and record it as x0, calculate the standard allocation amount F2(x0) according to the standard allocation density function F2(x)=F1(x)+h, and compare the standard allocation amount F2(x0) with the required allocation amount XP; if the required allocation amount XP is not greater than the standard allocation amount F2(x0), generate a cumulative allocation instruction; if the required allocation amount XP is greater than the standard allocation amount F2(x0), generate a judgment allocation instruction;

[0081] Allocate the supervised resource amount according to the demand allocation amount XP according to the cumulative allocation instruction, and perform a difference operation between the standard allocation amount F2(x0) and the demand allocation amount XP to obtain the cumulative allocation amount, and put the cumulative allocation amount into the accumulation pool; determine whether there is a sufficient allocation amount according to the standard allocation instruction;

[0082] The cumulative allocation in the cumulative pool is summed with the standard allocation F2(x0) to obtain the sum result, and the sum result is compared with the demand allocation XP. If the sum result is not less than the demand allocation XP, it is determined that there is a sufficient allocation; the cumulative allocation and the standard allocation F2(x0) are simultaneously allocated with the regulatory resources; if the sum result is less than the demand allocation XP, it is determined that there is no sufficient allocation, and the regulatory resources are allocated according to the standard allocation F2(x0);

[0083] After implementing the allocation of regulatory resources, the abnormal amount YC of the data set is traced and analyzed. If YC is not 0, an accumulation pool application instruction is generated; if YC is 0, an accumulation pool termination instruction is generated;

[0084] Continue to apply for the cumulative allocation amount from the accumulation pool according to the accumulation pool application instruction; terminate the use of the cumulative allocation amount in the accumulation pool according to the accumulation pool termination instruction;

[0085] By analyzing the cycle consumption ratio of several resources in the project engineering and establishing a detection data set based on the cycle consumption ratio, the collaborative consumption parameters are obtained by evaluating the detection data set to reflect the consistency of the year-on-year consumption of the consumed resources; the anomaly of the detection data set is obtained through the data analysis module, the characteristic value of the detection data set is calculated according to the anomaly, the demand allocation amount is calculated according to the characteristic value, and the demand allocation amount is evaluated. The regulatory resources are allocated and controlled according to the evaluation results to ensure that there are sufficient regulatory resources in the existing construction period, improve the intelligent and refined management of the allocation of regulatory resources in the optical distribution construction process, and optimize the regulatory effect.

[0086] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A communication optical distribution intelligent management and optimization system, characterized by: It includes a project processing module, which is used to obtain the project project and take it as the target project, obtain the project plan of the target project, process the project plan, obtain key project information and project resources, quantify the project resources to obtain the total resource volume of the project resources, and divide the total resource volume into construction resource volume and supervision resource volume; The information collection and division module is used to collect a number of actual consumption resources corresponding to a number of project resources through a number of different collection devices; determine the detection cycle according to the project duration, and divide the project duration into a calculation duration and a stock duration; The information integration module is used to calculate the consumption of different resources in the construction resources within the detection cycle to obtain the cycle resource consumption, calculate the ratio of the cycle resource consumption to the detection cycle length to obtain the cycle consumption ratio, establish a detection data set based on the cycle consumption ratios of different types of resources, and evaluate the collaborative consumption parameters of the detection data set; A data analysis module is used to perform data analysis on the collaborative consumption parameter. If the collaborative consumption parameter is not greater than the standard collaborative threshold, the collaborative consumption parameter is marked as a high collaborative parameter. Otherwise, the collaborative consumption parameter is marked as a low collaborative parameter; the detection data set corresponding to the high collaborative parameter is marked as a regular data set, and the detection data set corresponding to the low collaborative parameter is marked as an abnormal data set; Generate an anomaly model based on the normal data set and the abnormal data set and calculate the anomaly of the detection data set, calculate the characteristic value of the detection data set based on the anomaly, and calculate the characteristic mean of the target project based on the characteristic value of the data set; Calculate the demand allocation of supervision resources in the detection cycle according to the characteristic values ​​of the detection data set; The resource management and control module is used to obtain the intermediate time points of the project duration, establish an evaluation model based on the intermediate time points and characteristic means, input the demand allocation into the evaluation model for evaluation, obtain the evaluation results, and adjust the allocation of the remaining resources based on the evaluation results.

2. A communication optical distribution intelligent management and optimization system according to claim 1, characterized in that: The quantification method of project resources is: By quantifying the formula Calculate the total resource volume ZL of the project resources, where ZYi is the resource component of different types of resources, wi is the quantization coefficient of the resource component, i is the resource type number, i is a positive integer, i∈[1,n], and n is the total number of resource types; The total resources are divided as follows: The construction resource volume is obtained by multiplying the total resource volume ZL by the standard proportion coefficient, and the regulatory resource volume is obtained by calculating the difference between the total resource volume ZL and the construction resource volume.

3. A communication optical distribution intelligent management and optimization system according to claim 2, characterized in that: The method of dividing the project duration is as follows: The project sub-projects are numbered, and the numbers of the completed project sub-projects are marked as the target numbers. The sum of the reasonable durations corresponding to the target numbers is calculated and used as the calculated duration. The difference between the project duration and the calculated duration is calculated to obtain the stock duration.

4. A communication optical distribution intelligent management and optimization system according to claim 3, characterized in that: The method to evaluate the co-consumption parameter on the detection dataset is: A calculation sequence is established according to the cycle consumption ratios corresponding to different types of resources, the first element in the calculation sequence is marked as a target element, the target element is sequentially and the elements numbered 2, 3, ..., n in the first sequence are calculated by absolute difference to obtain a number of resource consumption differences between the target element and subsequent elements in the first sequence, the number of resource consumption differences is summed to obtain interference parameters between the target element and other elements in the calculation sequence, and the number of resource consumption differences is counted to obtain the total number of operations of the target element; Then mark the second element in the calculation sequence as the target element, and obtain the interference parameters and the total number of operations of all elements in the calculation sequence in turn; Calculate the formula by co-consumption parameters The collaborative consumption parameter XC of the monitoring data set is calculated; GSj is the interference parameter of the target element, and Zj is the total number of operations of the target element.

5. A communication optical distribution intelligent management and optimization system according to claim 4, characterized in that: The method for allocating regulatory resources is as follows: An abnormal quantity model is established, and the expression of the abnormal quantity model is: YC is the amount of anomalies in the detection data set; The resource consumption difference ZCi is obtained by performing a difference calculation based on the cycle consumption ratio of two adjacent detection cycles corresponding to the same resource; The resource deviation value Fi of the resource consumption difference ZCi is calculated by the deviation formula Fi=ZCi-PC; PC is the average consumption difference, which is obtained by averaging several resource consumption differences ZCi.

6. A communication optical distribution intelligent management and optimization system according to claim 5, characterized in that: Conduct data analysis on the resource deviation value Fi; If the resource deviation value Fi belongs to the standard deviation range, the resource consumption difference ZCi corresponding to the resource deviation value Fi is marked as the conventional consumption difference CCi; if the resource deviation value Fi is greater than the maximum value of the standard deviation range, the resource consumption difference ZCi corresponding to the resource analysis value Fi is marked as the high consumption difference; if the resource deviation value Fi is less than the maximum value of the standard deviation range, the resource consumption difference ZCi corresponding to the resource analysis value Fi is marked as the low consumption difference.

7. A communication optical distribution intelligent management and optimization system according to claim 6, characterized in that: The number of high-order consumption differences and low-order consumption differences is counted and recorded as the total number of high-order consumption differences GZ and the total number of low-order consumption differences DZ, respectively. The total number of high-order consumption differences GZ and the total number of low-order consumption differences DZ are compared to obtain the maximum value of the total number of consumption differences and the minimum value of the total number of consumption differences. The resource consumption difference ZCi corresponding to the maximum value of the total number of consumption differences is marked as the general consumption difference YPa, and the resource consumption difference ZCi corresponding to the minimum value of the total number of consumption differences is marked as the target consumption difference MPb; a is the number of the general consumption difference, and b is the number of the target consumption difference; If the total number of high average differences GZ and the total number of low average differences DZ are equal, the first standard deviation of several high consumption differences GCi and the second standard deviation of several low consumption differences DCi are calculated respectively through the standard deviation calculation formula, and the corresponding resource consumption differences ZCi are marked as general consumption differences YPa and target consumption differences MPb according to the size of the first standard deviation and the second standard deviation.

8. A communication optical distribution intelligent management and optimization system according to claim 7, characterized in that: By the characteristic formula: The characteristic value TZ of the detection data set is calculated, and the required allocation amount XP of the supervision resource amount in the corresponding detection cycle of the data set is calculated by the allocation amount calculation formula XP=k×TZ. The remaining resource amount is obtained by performing a difference operation between the supervision resource amount and the required allocation amount XP; k is the demand proportion coefficient.

9. A communication optical distribution intelligent management and optimization system according to claim 8, characterized in that: The method to establish the evaluation model is: A two-dimensional coordinate system (x, y) is established with the calculated duration as the horizontal axis and the allocated resource ratio as the vertical axis. The duration of the project is obtained and recorded as A. The first coordinate (A / 2, 0) of the middle time point and the second coordinate (A, 0) of the end time point are established on the two-dimensional coordinate system. A / 2 is used as the mean μ, and the characteristic mean TP is used as the standard deviation (σ) to draw a normal distribution curve. According to the first coordinate (A / 2, 0) and the second coordinate (A, 0), the boundary curves x=A / 2 and x=A are drawn. According to the boundary curves x=A / 2 and x=A, the normal distribution curve is intercepted as a reference curve segment. The reference function of the reference curve segment is F1(x). According to the reference function F1(x), a standard distribution density function F2(x) = F1(x) + h is constructed, where h is the upward translation amount, h>0, so that F2(x) satisfies the distribution density integral relationship 10. A communication optical distribution intelligent management and optimization system according to claim 9, characterized in that: Obtain the calculated duration corresponding to the project sub-project and record it as x0, calculate the standard allocation amount F2(x0) according to the standard allocation density function, and compare the standard allocation amount F2(x0) with the demand allocation amount XP; if the demand allocation amount XP is not greater than the standard allocation amount F2(x0), generate a cumulative allocation instruction; if the demand allocation amount XP is greater than the standard allocation amount F2(x0), generate a judgment allocation instruction; Allocate the supervised resource amount according to the demand allocation amount XP according to the cumulative allocation instruction, and perform a difference operation between the standard allocation amount F2(x0) and the demand allocation amount XP to obtain the cumulative allocation amount, and put the cumulative allocation amount into the accumulation pool; determine whether there is a sufficient allocation amount according to the standard allocation instruction; If there is sufficient allocation, the regulatory resources are allocated according to the cumulative allocation and the standard allocation F2(x0); if there is no sufficient allocation, the regulatory resources are allocated according to the standard allocation F2(x0); After implementing the allocation of regulatory resources, the abnormal amount YC of the data set is traced and analyzed. If YC is not 0, an accumulation pool application instruction is generated; if YC is 0, an accumulation pool termination instruction is generated; Continue to apply for the accumulated allocation amount from the accumulation pool according to the accumulation pool application instruction; terminate the use of the accumulated allocation amount in the accumulation pool according to the accumulation pool termination instruction.

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