CN115619614A - Intelligent classification coding method and system for rail transit assets - Google Patents
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Abstract
The invention discloses an intelligent classification coding method and system for rail transit assets, and particularly relates to the field of asset management, which is used for solving the problem that most of the existing coding methods do not perform detailed coding aiming at various fixed assets and long period threshold, so that the subsequent management efficiency still has a certain space for improvement, and comprises the steps of obtaining asset position information of the rail transit assets, coding the assets according to the areas where the rail transit assets are located, obtaining asset type information and construction state information of the asset information of each area, and representing the rail transit asset coding as Pi (K1, K2, the. According to the invention, the rail transit assets are respectively subjected to multiple items of detailed coding classification according to the state information of the rail transit assets, and are subjected to hierarchical query according to the authority information of the query personnel, so that the rail transit assets can be efficiently and stably managed.
Description
Technical Field
The invention relates to the technical field of asset management, in particular to an intelligent classification coding method and system for rail transit assets.
Background
In recent years, with the progress of urbanization and the development of economy, large and medium-sized cities are actively developing rail transit systems. Rail transit companies are typically heavy asset type enterprises in which physical assets such as construction projects, fixed assets, etc. occupy a great proportion of the total assets.
The fixed assets of the rail transit are various in types, the period threshold of the assets in construction is long, and most of the existing coding methods do not carry out detailed coding according to the characteristics of the assets, so that the subsequent management efficiency still has a certain promotion space.
In order to solve the problems, a technical scheme is provided.
Disclosure of Invention
In order to overcome the above defects in the prior art, embodiments of the present invention provide an intelligent classification coding method and system for rail transit assets, which are capable of performing efficient and stable management on rail transit assets by performing multiple items of detailed coding classification on rail transit assets according to state information of the rail transit assets and performing hierarchical query according to authority information of a query person, so as to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent classification coding method for rail transit assets comprises the following steps:
s1, acquiring asset position information of a rail transit asset, coding the asset according to the area where the rail transit asset is located, and marking the rail transit asset at the position of each area as Pi, wherein P represents the position code where the asset is located, and i represents a serial number;
s2, acquiring asset type information and construction state information of the asset information of each area, and representing the track traffic asset code as Pi (K1, K2, a.
K denotes a type code of each regional track transportation asset, B denotes a construction state code of each regional track transportation asset, m denotes the total number of asset types owned by each region, and q denotes a serial number of each construction state.
In a preferred embodiment, in step S2, an update time and an update cycle threshold of the asset information of each area are also obtained, and an update time and an update cycle threshold code are added to the track transportation asset code, which is denoted as Pi (K1, K2,... Multidot.km, bq, tgi, ti);
tgi is the code of the last update time of the asset location code Pi, and Ti is the code of the asset update period threshold of each area.
In a preferred embodiment, after the step S2, a step S3 is further included, where the number of times of device maintenance, the running time, the location area, and the subdivision code of each device under the device asset code are obtained by the manufacturer;
the device asset code is designated as Kj, and then the device asset code is subdivided into Kj (Kj 1, kj 2.... Cndot.); the device codes are Kj1 to Kjn respectively, j represents the serial number of the device asset code in the asset class, the serial number is more than 1 and less than m, and n represents the total number of owned devices;
the equipment codes Kjf include a maintenance number, a running time code, a location area code, and a manufacturer code, which are respectively designated as Mf, tyf, lnf, af, and for each equipment code Kjf, its subdivision code is denoted as Kjf (Mf, tyf, lnf, af);
f represents the serial number of the equipment, which is larger than 1 and smaller than n.
In a preferred embodiment, in step S3, a device state coefficient is further obtained, and a device state coefficient code is added to the device code according to the device state coefficient;
the equipment state coefficient is obtained by calculation according to the maintenance times and the running time, and the specific calculation expression is as follows:
in the formula (I), the compound is shown in the specification,
、
respectively, a preset proportionality coefficient of the maintenance time number and the operation time number,
the device status with serial number f is the internal information value of the code Cf,
refers to the specific number of times of maintenance of the equipment,
the running time of the equipment is specified, and the subdivision code of the equipment code Kjf is represented as Kjf (Mf, tyf, lnf, af and Cf).
In a preferred embodiment, after step S3, step S4 is further included, performing a threshold color change operation on the device status system code and the update time code;
when the equipment state coefficient of the equipment state coefficient number is larger than the standard state threshold value, marking the equipment state coefficient number with red;
and when the updating time interval query time is greater than the updating period threshold code, marking the updating time code with red.
An intelligent classification coding system of rail transit assets is used for realizing the intelligent classification coding method of the rail transit assets, and comprises a main control module, an acquisition module, a service management module and a data storage module;
the main control module is used for connecting the acquisition module, the service management module and the data storage module, issuing a control instruction and receiving a data result;
the acquisition module is used for acquiring various asset information and sending the acquired information to the service management module through the main control module;
the business management module is used for completing asset input, asset display, asset state updating and asset information prompting business;
and the data storage module is used for storing data generated by the rail transit assets in the whole business logic process.
In a preferred embodiment, the acquisition module comprises a manual updating unit for manual updating by related staff;
the business management module comprises a visual display unit for displaying the asset state to inquirers;
the service management module also comprises an authority management unit which is used for carrying out authority management setting aiming at different inquirers and respectively displaying the asset information with different detailed degrees.
The intelligent classification coding method and the system for the rail transit assets have the technical effects and advantages that:
according to the invention, the rail transit assets are classified and numbered according to the areas, so that the rail transit assets in different areas can be specifically classified and numbered;
the method further subdivides and codes the rail transit assets in different areas according to the asset types and the construction states, and can be convenient for later-period related personnel to quickly know the states and the conditions of the assets through the codes;
according to the method, the track traffic assets in different areas are coded according to the updating time and the updating period, so that related personnel in the later period can know the updating condition of the asset information of each position through the codes, the asset information invalidation caused by long updating time is avoided, and the method is not valuable;
according to the invention, the operation state of the rail transit equipment assets in different areas is analyzed, and corresponding coding is carried out, so that later-stage related personnel can know the operation condition of each equipment through the coding, and the subsequent replacement is facilitated.
Drawings
FIG. 1 is a flow chart of an intelligent classification encoding method for rail transit assets according to the present invention;
fig. 2 is a schematic structural diagram of the intelligent classification coding system for rail transit assets according to the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Example 1
According to the intelligent classification coding method for the rail transit assets, disclosed by the invention, the rail transit assets are subjected to multiple items of detailed coding classification according to the state information of the rail transit assets and are subjected to hierarchical query according to the authority information of a query worker, so that the rail transit assets can be efficiently and stably managed, and the defects that the conventional rail transit fixed assets are multiple in types, long in period threshold value and inconvenient to uniformly and effectively manage are overcome.
FIG. 1 is a flow chart of the intelligent classification and encoding method for rail transit assets of the invention, which comprises the following steps:
and S1, coding the assets according to the areas of the rail transit assets.
Specifically, asset position information of the rail transit asset is obtained and is calibrated to be Pi, wherein P represents a position code where the asset is located, and i represents a serial number; for example, if the track transportation assets are distributed in city a and city b, the track transportation assets in city a may be designated as P1, and the track transportation assets in city b may be designated as P2.
The asset position code Pi refers to the classification information of the rail transit asset according to the area where the rail transit asset is located, and the status and the growth speed of the asset in different areas are different due to different rail transit states in different areas which may be in operation or in construction, so that the asset position code Pi needs to be classified according to the area where the asset is located.
And S2, firstly, further subdividing and coding the asset information of each area according to the asset type and the construction state.
Specifically, the asset position code Pi includes codes of asset type information and construction state information, which are respectively designated as K and Bq. Wherein K represents the type code of the rail transit assets in each area; for example, each area includes a building asset and a device asset, the building asset may be labeled as K1 and the device asset may be labeled as K2.B represents the construction state code of the rail transit of each area, q represents the serial number of various construction states, including the construction completion running state, the state in construction and the state of not starting construction; for example, the construction completion operation state, the state during construction, and the state without starting construction of the rail transit may be respectively designated as B1, B2, and B3, and it should be noted that q is classified into three types in this embodiment, and the construction states may be classified more finely as necessary in actual cases. Thus, in step S2, the asset code may be denoted as Pi (K, bq).
It should be noted that the asset type of each area is not only one, but may have multiple asset types, and therefore, the asset code has a case similar to Pi (K1, K2, bq); the construction state of each asset can only exist in one state, so that Bq can only exist in one state; assuming that the total number of asset types is m, the asset code may be represented as Pi (K1, K2...., km, bq).
Through carrying out careful classification with the asset code of different regions according to kind and construction state, the asset state and the condition of everywhere are known rapidly through the code to the relevant personnel of later stage of being convenient for.
Further, since the asset change speeds of different construction states are different, the corresponding update frequencies for the assets are different, and in order to prompt the inquiring person to update and manage the assets in time, in an optional example, in step S2, the asset position code Pi further includes an update time code tgi, where tgi is a code of a last update time of the asset position code Pi, and the inquiring person can determine whether the asset information has timeliness or not according to the construction state code Bq and the update time code tgi of the assets in different areas, and whether the asset information needs to be updated or not, so as to facilitate the person to perform statistical management on the rail transit assets. The asset code may then be denoted Pi (K1, K2...., km, bq, tgi).
Meanwhile, in order to prompt the inquiry personnel to carry out updating judgment, an updating period threshold code Ti is also included under the asset position code Pi, the updating period threshold code Ti is the code of the asset updating period threshold of each area, and when the interval between the updating time and the inquiry time is greater than or equal to the period threshold value Ti, the assets of each area need to be updated, so that the asset information error is prevented from being too large. The asset code may then be denoted Pi (K1, K2...., km, bq, tgi, ti).
It should be noted that the setting of the update cycle threshold code T of each area is selected according to actual conditions, for example, the update cycle threshold of the track transportation asset in the construction state is smaller than that of the track transportation asset already in the running state, so as to ensure that subsequent inquirers accurately know the track transportation assets in each area.
Example 2
The difference between the embodiment 2 and the embodiment 1 is that the embodiment 1 mainly introduces classification coding of rail transit assets according to the characteristics of the rail transit assets in the areas, and sets updating time codes for the assets in different construction states, so that subsequent inquirers can conveniently and accurately know the states of the rail transit assets in the areas. In this embodiment 2, the device information under the asset type information of each area is further classified in detail, so as to satisfy the requirement of the key query of different device assets.
Therefore, after step S2, step S3 is further included, in which the devices under the device asset coding are subdivided and coded.
Specifically, in this embodiment, each device code is designated as Kj1, kj2,.. Said.. Wherein Kjn, j represents a serial number of the device asset code in the asset class, which is greater than 1 and less than m, and n represents the total number of owned devices, which is the serial number of each device under the device asset code Kj; for example, if the device asset is denoted by K2, the code of each device is K2n.
Taking the device code Kjf as an example, f represents the serial number of the device, which is greater than 1 and less than n, the device code Kjf includes a maintenance number, an operation time code, a location area code and a manufacturer code, which are respectively designated as Mf, tyf, lnf and Af, the maintenance number refers to the number of maintenance times that the device has been operated up to now, the operation time code refers to the time that the device has been put into use up to now, and the maintenance number is updated each time the device is maintained. The position area code is a coordinate position of the equipment in the resource area, and the position of each equipment can be accurately known through the position area code, so that subsequent targeted query is facilitated; the manufacturer code means that manufacturers of each device can conveniently communicate with each other in the follow-up process. Thus, at this time, for the device asset code Kj, its subdivision code may be denoted Kj (Kj 1, kj 2.... Times, kjn), and for each device code Kjf, its subdivision code may be denoted Kjf (Mf, tyf, lf, af).
It should be noted that there is not only one device code under the device asset code, and the device code is set according to actual situations, which includes the possibility of multiple situations, that is, the number of device codes under the asset code is greater than or equal to one.
In an alternative example, the device code Kjf further includes a device state coefficient code Cf, where the device state coefficient code refers to an operation state of each device, and is related to the number of maintenance times and the operation time, and the more the number of maintenance times of the device is, the worse the state is, and the longer the operation time of the device is, the more the device is aged, and thus the worse the state coefficient is. Therefore, the internal information value of the equipment state system code Cf is obtained by calculation according to the information contained in the maintenance number code Mf and the running time code tyf, and the specific calculation expression is as follows:
in the formula (I), the compound is shown in the specification,
、
are preset proportionality coefficients of the maintenance time number and the operation time number respectively, and
。
the device status with serial number f is the internal information value of the code Cf,
refers to the specific maintenance times of the equipment,
it is the specific operation time of the device, and in this case, for each device code Kjf, its subdivision code is represented as Kjf (Mf, tyf, lnf, af, cf).
The inquiry personnel can confirm the running state of the equipment through the equipment state system number Cf, in particular to the internal information value when the equipment state system number Cf
If the current state is greater than the standard state threshold value, the running state of the equipment is poor, and the equipment is required to be replaced; when the equipment state is the internal information value of the code Cf
And when the value is less than or equal to the standard state threshold value, the equipment is in a normal operation state and does not need to be adjusted.
In an optional embodiment, after the step S3, a step S4 is further included, in which a threshold color change operation is performed on the device state system number Cf and the update time code tgi;
when the equipment state is the internal information value of the code Cf
When the value is larger than the standard state threshold value, the equipment state series number Cf is marked with red to prompt the inquirer that the equipment state is in a problem and needs to be replaced in time;
and when the distance between the updating time code tgi and the query time is greater than the updating period threshold code T, the updating time code tgi is marked with red to prompt the query personnel that the asset information of each area is updated at the updating time and the assets of each area need to be updated.
Example 3
The difference between embodiment 3 of the present invention and the above-mentioned embodiments is that the above-mentioned embodiments introduce an intelligent classification coding method for rail transit assets, and the present embodiment introduces an intelligent classification coding system for rail transit assets of the present invention, which is used to implement the methods mentioned in the above-mentioned embodiments.
Fig. 2 shows a schematic structural diagram of the intelligent classification coding system for rail transit assets, which includes a main control module, and an acquisition module, a service management module and a data storage module which are in signal connection with the main control module.
The main control module is used for connecting the acquisition module, the service management module and the data storage module, issuing a control instruction and receiving a data result.
The acquisition module is used for acquiring various asset information and sending the acquired information to the service management module through the main control module. The asset information includes asset size, location area, maintenance times of the equipment, running time, manufacturer, etc.
The business management module is used for completing the general business functions of the assets, including asset entry, asset display, asset status update, asset information prompt and the like. The asset information prompt refers to the threshold color changing operation of the equipment state system number Cf and the updating time code tgi.
The data storage module is used for storing data generated by the rail transit assets in the whole business logic process.
The acquisition module comprises a manual updating unit for manual updating of related workers.
The business management module comprises a visual display unit used for displaying the asset state to the inquiry personnel.
In an alternative example, since the track transportation assets of the present invention are related to a lot of information, it is inconvenient to show all people one by one, and asset information of different levels of detail needs to be shown for people with different authorities. Therefore, the service management module further comprises a right management unit for performing right management setting for different inquirers. Which are each presented with asset information of different levels of detail.
It should be noted that most of the rail transit assets are fixed assets, so the invention mainly aims at classifying and coding the fixed assets and inquiring subsequent personnel.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters and the threshold value in the formula are selected and set by the technical personnel in the field according to the actual situation.
The above-described embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. The procedures or functions described in accordance with the embodiments of the present application are produced in whole or in part when the computer instructions or the computer program are loaded or executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the module units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
And finally: the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that are within the spirit and principle of the present invention are intended to be included in the scope of the present invention.
Claims (7)
1. An intelligent classification coding method for rail transit assets is characterized by comprising the following steps:
s1, acquiring asset position information of a rail transit asset, coding the asset according to the area where the rail transit asset is located, and marking the rail transit asset at the position of each area as Pi, wherein P represents the position code where the asset is located, and i represents a serial number;
s2, acquiring asset type information and construction state information of the asset information of each area, and representing the track traffic asset code as Pi (K1, K2, a.
K denotes a type code of each regional track transportation asset, B denotes a construction state code of each regional track transportation asset, m denotes the total number of asset types owned by each region, and q denotes a serial number of each construction state.
2. The intelligent classification coding method for rail transit assets of claim 1, wherein: in step S2, an update time and an update cycle threshold of the asset information of each area are further obtained, and an update time and an update cycle threshold code are added to the track transportation asset code, which is represented as Pi (K1, K2,. Talka.. Multidot.km, bq, tgi, ti);
tgi is the code of the last update time of the asset location code Pi, and Ti is the code of the asset update period threshold of each area.
3. The intelligent classification coding method for rail transit assets of claim 1, wherein: step S3 is also included after the step S2, the number of equipment maintenance times, the running time, the position area and each equipment under the equipment asset coding of a manufacturer are obtained to carry out subdivision coding;
the device asset code is designated as Kj, and the device asset code is subdivided into Kj (Kj 1, kj 2.,. Say., kjn); the device codes are Kj1 to Kjn respectively, j represents the serial number of the device asset code in the asset class, the serial number is more than 1 and less than m, and n represents the total number of owned devices;
the equipment codes Kjf include a maintenance number, a running time code, a location area code, and a manufacturer code, which are respectively designated as Mf, tyf, lnf, af, and for each equipment code Kjf, its subdivision code is denoted as Kjf (Mf, tyf, lnf, af);
f represents the serial number of the equipment, which is larger than 1 and smaller than n.
4. The intelligent classification coding method of rail transit assets of claim 3, characterized in that: in step S3, a device state coefficient is also obtained, and a device state coefficient number is added to the device code according to the device state coefficient;
the equipment state coefficient is obtained by calculation according to the maintenance times and the running time, and the specific calculation expression is as follows:
in the formula (I), the compound is shown in the specification,
、
respectively, a preset proportionality coefficient of the maintenance time number and the operation time number,
the device status with serial number f is the internal information value of the code Cf,
refers to the specific maintenance times of the equipment,
the running time of the equipment is specified, and the subdivision code of the equipment code Kjf is represented as Kjf (Mf, tyf, lnf, af, cf).
5. The intelligent classification and coding method of the rail transit assets as claimed in claim 4, wherein: step S4 is also included after the step S3, threshold color changing operation is carried out on the equipment state series digital code and the updating time code;
when the equipment state coefficient of the equipment state coefficient number is larger than the standard state threshold value, marking the equipment state coefficient number with red;
and when the updating time interval query time is greater than the updating period threshold code, marking the updating time code with red.
6. An intelligent classification coding system for rail transit assets, which is used for realizing the intelligent classification coding method for the rail transit assets of any one of the claims 1 to 5, and is characterized in that: the system comprises a main control module, an acquisition module, a service management module and a data storage module;
the main control module is used for connecting the acquisition module, the service management module and the data storage module, issuing a control instruction and receiving a data result;
the acquisition module is used for acquiring various asset information and sending the acquired information to the service management module through the main control module;
the business management module is used for completing asset input, asset display, asset state updating and asset information prompting business;
and the data storage module is used for storing data generated by the rail transit assets in the whole business logic process.
7. The intelligent classification and coding system for rail transit assets of claim 6, wherein: the acquisition module comprises a manual updating unit for manual updating of relevant workers;
the business management module comprises a visual display unit for displaying the asset state to inquirers;
the service management module also comprises an authority management unit which is used for carrying out authority management setting aiming at different inquirers and respectively displaying the asset information with different detailed degrees.
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