CN116523497B - PMS-based integrating worker Shan Yunwei cost quantification system - Google Patents
PMS-based integrating worker Shan Yunwei cost quantification system Download PDFInfo
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Abstract
The application discloses a PMS-based integrated worker Shan Yunwei cost quantification system, which relates to the technical field of operation and maintenance work order cost quantification, and is characterized in that an object analysis unit is used for carrying out matching analysis on received quantification data and inertia data, and all the inertia data and the quantification data are obtained; then selecting one piece of quantized data to obtain quantized items in the quantized data; and establishing a strong matching model of the quantized item, determining all inertial data aiming at quantization according to the similarity degree of the past data and the quantized item, then confirming the reasonable range of the inertial data, and matching the screened data with the inertial data, thereby determining whether the data is accurate or not.
Description
Technical Field
The application belongs to the technical field of operation and maintenance cost quantification, and particularly relates to a PMS integrator Shan Yunwei-based cost quantification system.
Background
The patent application with the publication number of CN115618277A discloses a method for quantifying the cost of an operation and maintenance work order, wherein the operation and maintenance work order to be processed is obtained, the operation and maintenance work order to be processed is classified by an operation and maintenance work order classifier, the category of the operation and maintenance work order to be processed is determined, and the attribute feature vector corresponding to the operation and maintenance work order to be processed is obtained based on the category of the operation and maintenance work order to be processed; determining the node to which the operation and maintenance work order to be processed belongs based on the similarity between the attribute feature vector corresponding to the operation and maintenance work order to be processed and the work order feature vector corresponding to each node; determining a solution of the operation and maintenance work order to be processed based on the similarity between the attribute feature vector corresponding to the operation and maintenance work order to be processed and the scheme feature vector corresponding to different solutions under the node to which the operation and maintenance work order belongs; analyzing the solution of the operation and maintenance work order to be processed, and realizing cost quantification of the operation and maintenance work order; the technical scheme provided by the application can effectively overcome the defect that the effective cost quantification of the operation and maintenance work order cannot be carried out in the prior art.
In the prior art, a plurality of operation and maintenance work orders are quantized, but a reasonable technical scheme is lacking for whether the quantized data are accurate or not.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art; to this end, the present application proposes a PMS integrator-based Shan Yunwei cost quantization system comprising:
the object analysis unit is used for carrying out matching analysis on the received quantized data and inertial data, and the specific mode of the matching analysis is as follows:
step one: acquiring all inertial data and quantized data;
step two: firstly, selecting quantized data to obtain quantized items in the quantized data;
step three: the method comprises the steps of establishing a strong matching model of a quantized item, wherein the strong matching model specifically comprises the following steps:
obtaining all influence element values corresponding to the quantized items, wherein the influence element values comprise element names and element values, and the element names refer to descriptive and directly quantized contents of the operation and maintenance work orders corresponding to the integration;
synchronously acquiring inertial items in inertial data, screening out inertial items consistent with the quantized items, acquiring corresponding influence element values in the inertial items, and marking the corresponding influence element values as inertial element values;
optionally an inertial item;
acquiring the number of different element names of the inertia element value and the influence element value, for example, the data that the total length of a fault line does not exist in the influence element value is expressed as the number of different elements added by one, and the number is marked as a difference number C; the different inertial and influencing element values are removed, the remainder being marked in turn as G i and Y i, i=1,..and n, indicating that n identical elements are present;
calculating an analog value B between inertial data corresponding to the selected inertial item and quantized data by using a formula, wherein the specific calculation formula is as follows:
when B is smaller than X1, marking the inertial data of the corresponding inertial item as associated data, wherein X1 is a preset value;
then, optionally selecting the next inertia item, and repeating the steps to obtain all associated data;
step four: establishing a weak matching model of a quantized item, wherein the weak matching model specifically comprises the following steps:
acquiring an inertia item inconsistent with the quantized item in the inertia data, marking the inertia item as a weak inertia item, and synchronously acquiring an inertia element value corresponding to the weak inertia item; obtaining the number of element names corresponding to the inertia element values and consistent with the influence element values, dividing the element names by the total number of the element names in the influence element values to obtain a value marked as a similar element ratio, obtaining a weak inertia item with the similar element ratio exceeding B1, and marking the weak inertia item as a class inertia item; b1 is a preset value;
processing the inertia-like item in the same manner as the inertia item, and marking data exceeding X1 as associated data;
step five: obtaining inertia values of all the associated data, and marking the inertia values as associated data values Gj, j=1.
Step six: the average value P of Gj is obtained, and then the balance value W of Gj is calculated, wherein the specific calculation formula is as follows:
when W is lower than X2, processing is not performed, otherwise Gj is selected in a mode of increasing from large to small according to the absolute value Gj-P, and is sequentially deleted, and the W value of the residual Gj is calculated every time when the W is deleted until the W is lower than X2; presetting a numerical value in X2 bits;
obtaining the maximum value and the minimum value of the residual Gj, and marking the range as a reasonable range;
step seven: when the quantized value of the quantized data is in a reasonable range, marking the quantized data as the confirmation data, and then carrying out the same treatment on all the residual quantized data to obtain the number of the confirmation data, and marking the number as the confirmation number;
further, the quantization entry unit is configured to synchronize quantization data of the cost of the integrator Shan Yunwei, where the quantization data includes a quantization value and a quantization item, the quantization value refers to a final quantization result, that is, a quantized cost data value, and the quantization item refers to an item name corresponding to the quantization value;
the quantization entry unit is used for transmitting the quantized data to the object analysis unit, and the object analysis unit receives the quantized data transmitted by the quantization entry unit.
Further, the total item acquisition unit is used for acquiring all the quantized accurate quantized data in the past, marking the quantized data as inertial data, and synchronously re-marking the quantized values and the quantized items as inertia values and inertia items; the total item acquisition unit is used for transmitting the inertial data to the object analysis unit.
Further, the object analysis unit is configured to transmit the reasonable range, the validation data, the validation number, and the quantized data to the processor, where the processor is configured to perform a quantized reasonable analysis, specifically:
automatically acquiring the proportion of the confirmation number to all the quantized data, and marking the proportion as a confirmation ratio;
when the validation ratio exceeds B2, no processing is done, otherwise a range deviation signal is generated.
Further, the processor is used for transmitting quantized data of the non-acknowledgement data to the user side, and reminding the user of approval.
Further, the processor is further configured to transmit the range deviation signal to the client, where the client automatically displays "the currently processed data has a large error and the quantization mode may have a problem" when receiving the range deviation signal.
Further, the system also comprises a management unit, wherein the management unit is used for inputting all preset values.
Compared with the prior art, the application has the beneficial effects that:
the application carries out matching analysis on the received quantized data and inertial data through the object analysis unit, and obtains all the inertial data and quantized data; then selecting one piece of quantized data to obtain quantized items in the quantized data; and establishing a strong matching model of the quantized item, determining all inertial data aiming at quantization according to the similarity degree of the past data and the quantized item, then confirming the reasonable range of the inertial data, and matching the screened data with the inertial data, thereby determining whether the data is accurate or not.
Drawings
Fig. 1 is a system block diagram of the present application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, the present application provides a PMS integrator-based Shan Yunwei cost quantification system, comprising;
the system comprises a quantization input unit, an object analysis unit, a total item acquisition unit, a processor, a comparison rule base, a management unit and a user side;
the quantization entry unit is used for synchronizing quantization data of the cost of the integrator Shan Yunwei, wherein the quantization data comprises quantization values and quantization items, the quantization values refer to the final quantization result, namely quantized cost data values, and the quantization items refer to item names corresponding to the quantization values, namely what is specifically;
the quantization entry unit is used for transmitting the quantized data to the object analysis unit, and the object analysis unit receives the quantized data transmitted by the quantization entry unit;
the total item acquisition unit is used for acquiring all previous quantized data, namely the previous quantized data which is quantized by artificial verification or other modes, marking the quantized data as inertia data, and synchronously re-marking the quantized values and the quantized items as inertia values and inertia items; the total item acquisition unit is used for transmitting the inertial data to the object analysis unit;
the object analysis unit receives the inertial data transmitted by the total item acquisition unit, and performs matching analysis on the quantized data by combining the inertial data, wherein the specific mode of the matching analysis is as follows:
step one: acquiring all inertial data and quantized data;
step two: firstly, selecting quantized data to obtain quantized items in the quantized data;
step three: the method comprises the steps of establishing a strong matching model of a quantized item, wherein the strong matching model specifically comprises the following steps:
obtaining all influence element values corresponding to the quantized items, wherein the influence element values comprise element names and element values, the element names refer to descriptive and directly quantized contents of the operation and maintenance work orders corresponding to the integration, namely quantized data for solving problem input, such as the number of households influenced by the current fault range, the total length of a fault line, the fault solving time, the number of required maintenance personnel, the material cost required for maintenance and the like, and the influence elements are not exhaustive;
synchronously acquiring inertial items in inertial data, screening out inertial items consistent with the quantized items, acquiring corresponding influence element values in the inertial items, and marking the corresponding influence element values as inertial element values;
optionally an inertial item;
acquiring the number of different element names of the inertia element value and the influence element value, for example, the data that the total length of a fault line does not exist in the influence element value is expressed as the number of different elements added by one, and the number is marked as a difference number C; the different inertial and influencing element values are removed, the remainder being marked in turn as G i and Y i, i=1,..and n, indicating that n identical elements are present;
calculating an analog value B between inertial data corresponding to the selected inertial item and quantized data by using a formula, wherein the specific calculation formula is as follows:
when B is smaller than X1, marking the inertial data of the corresponding inertial item as associated data, wherein X1 is a preset value;
then, optionally selecting the next inertia item, and repeating the steps to obtain all associated data;
step four: establishing a weak matching model of a quantized item, wherein the weak matching model specifically comprises the following steps:
acquiring an inertia item inconsistent with the quantized item in the inertia data, marking the inertia item as a weak inertia item, and synchronously acquiring an inertia element value corresponding to the weak inertia item; obtaining the number of element names corresponding to the inertia element values and consistent with the influence element values, dividing the element names by the total number of the element names in the influence element values to obtain a value marked as a similar element ratio, obtaining a weak inertia item with the similar element ratio exceeding B1, and marking the weak inertia item as a class inertia item; b1 is a preset value;
processing the inertia-like item in the same manner as the inertia item, and marking data exceeding X1 as associated data;
step five: obtaining inertia values of all the associated data, and marking the inertia values as associated data values Gj, j=1.
Step six: the average value P of Gj is obtained, and then the balance value W of Gj is calculated, wherein the specific calculation formula is as follows:
when W is lower than X2, processing is not performed, otherwise Gj is selected in a mode of increasing from large to small according to the absolute value Gj-P, and is sequentially deleted, and the W value of the residual Gj is calculated every time when the W is deleted until the W is lower than X2; presetting a numerical value in X2 bits;
obtaining the maximum value and the minimum value of the residual Gj, and marking the range as a reasonable range;
step seven: when the quantized value of the quantized data is in a reasonable range, marking the quantized data as the confirmation data, and then carrying out the same treatment on all the residual quantized data to obtain the number of the confirmation data, and marking the number as the confirmation number;
the object analysis unit is used for transmitting the reasonable range, the confirmation data, the confirmation number and the quantized data to the processor, and the processor is used for carrying out quantized reasonable analysis, specifically:
automatically acquiring the proportion of the confirmation number to all the quantized data, and marking the proportion as a confirmation ratio;
when the confirmation ratio exceeds B2, not processing, otherwise generating a range deviation signal;
the processor is used for transmitting quantitative data of the non-acknowledgement data to the user side and reminding the user of approval;
the processor is further configured to transmit a range deviation signal to the user side, where the user side automatically displays "the currently processed data has a large error and the quantization mode may have a problem" when receiving the range deviation signal.
The system also comprises a management unit, wherein the management unit is used for inputting all preset values.
The partial data in the formula are all obtained by removing dimension and taking the numerical value for calculation, and the formula is a formula closest to the real situation obtained by simulating a large amount of collected data through software; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or are obtained through mass data simulation.
The above embodiments are only for illustrating the technical method of the present application and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present application may be modified or substituted without departing from the spirit and scope of the technical method of the present application.
Claims (5)
1. The utility model provides a based on PMS integrator Shan Yunwei cost quantization system which characterized in that includes:
the object analysis unit is used for carrying out matching analysis on the received quantized data and inertial data, and the specific mode of the matching analysis is as follows:
step one: acquiring all inertial data and quantized data;
step two: firstly, selecting quantized data to obtain quantized items in the quantized data;
step three: the method comprises the steps of establishing a strong matching model of a quantized item, wherein the strong matching model specifically comprises the following steps:
obtaining all influence element values corresponding to the quantized items, wherein the influence element values comprise element names and element values, and the element names refer to descriptive and directly quantized contents of the operation and maintenance work orders corresponding to the integration;
synchronously acquiring inertial items in inertial data, screening out inertial items consistent with the quantized items, acquiring corresponding influence element values in the inertial items, and marking the corresponding influence element values as inertial element values;
optionally an inertial item;
acquiring the number of different element names of the inertia element value and the influence element value, and marking the number as a difference number C; the different inertial and influencing element values are removed, the remainder being marked sequentially Gi and Yi, i=1,..and n, indicating that n identical elements are present;
calculating an analog value B between inertial data corresponding to the selected inertial item and quantized data by using a formula, wherein the specific calculation formula is as follows:
when B is smaller than X1, marking the inertial data of the corresponding inertial item as associated data, wherein X1 is a preset value;
then, optionally selecting the next inertia item, and repeating the steps to obtain all associated data;
step four: establishing a weak matching model of a quantized item, wherein the weak matching model specifically comprises the following steps:
acquiring an inertia item inconsistent with the quantized item in the inertia data, marking the inertia item as a weak inertia item, and synchronously acquiring an inertia element value corresponding to the weak inertia item; obtaining the number of element names corresponding to the inertia element values and consistent with the element names affecting the element values, dividing the element names by the total number of the element names affecting the element values, marking the obtained numerical values as similar element ratios, obtaining weak inertia items with similar element ratios exceeding B1, and marking the weak inertia items as class inertia items; b1 is a preset value;
processing the class inertia item in the same manner as the inertia item, and marking the data of the class inertia item exceeding X1 as associated data;
step five: obtaining inertia values of all the associated data, and marking the inertia values as associated data values Gj, j=1.
Step six: the average value P of Gj is obtained, and then the balance value W of Gj is calculated, wherein the specific calculation formula is as follows:
when W is lower than X2, processing is not performed, otherwise Gj is selected in a mode of increasing from large to small according to the absolute value Gj-P, and is sequentially deleted, and the W value of the residual Gj is calculated every time when the W is deleted until the W is lower than X2; presetting a numerical value in X2 bits;
obtaining the maximum value and the minimum value of the residual Gj, and marking the range formed by the maximum value and the minimum value as a reasonable range;
step seven: when the quantized value of the quantized data is in a reasonable range, marking the quantized data as the confirmation data, and then carrying out the same treatment on all the residual quantized data to obtain the number of the confirmation data, and marking the number as the confirmation number;
the quantization entry unit is used for synchronizing quantization data of the cost of the integrator Shan Yunwei, wherein the quantization data comprises quantization values and quantization items, the quantization values refer to final quantization results, namely quantized cost data values, and the quantization items refer to item names corresponding to the quantization values;
the quantization entry unit is used for transmitting the quantized data to the object analysis unit, and the object analysis unit receives the quantized data transmitted by the quantization entry unit;
the total item acquisition unit is used for acquiring all quantized accurate quantized data in the past, marking the quantized data as inertial data, and synchronously re-marking quantized values and quantized items as inertial values and inertial items; the total item acquisition unit is used for transmitting the inertial data to the object analysis unit.
2. The PMS integrator Shan Yunwei cost quantization system of claim 1, wherein the object analysis unit is configured to transmit the reasonable range, the validation data, the validation number, the quantized data to the processor, and the processor is configured to perform a quantized reasonable analysis, specifically:
automatically acquiring the proportion of the confirmation number to all the quantized data, and marking the proportion as a confirmation ratio;
when the validation ratio exceeds B2, no processing is done, otherwise a range deviation signal is generated.
3. The PMS integrator Shan Yunwei cost quantization system of claim 2, wherein the processor is configured to transmit quantized data of the non-confirmatory data to the client, alerting the user to the approval.
4. The PMS integrator Shan Yunwei cost quantization system of claim 3, wherein the processor is further configured to transmit a range deviation signal to the ue, and the ue automatically displays "the currently processed data has a large error and the quantization mode may have a problem" when receiving the range deviation signal.
5. The PMS integrator Shan Yunwei cost quantization system of claim 4, further comprising a management unit for entering all of the preset values.
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