Military and civilian fusion degree measurement and evaluation method based on Feider-ram model

Abstract

The invention discloses a Feider-ram model-based military and civilian fusion degree measurement and evaluation method, and the method is characterized in that the method comprises the following units: a data center which is responsible for receiving and processing a data model and other data, and carrying out the coupling of each group of data and the model, so as to obtain military and civilian fusion data; a national defense department; a non-national defense department; a database; a command system; and performing regulation quantity statistics. Through the arrangement of a command system and law and regulation quantity statistics, when a manager observes the process of military and civilian fusion, the manager can judge whether the speed of military and civilian fusion is increased or decreased according to people flow direction conditions, personnel records, laws and regulations and the like in the same year, so that better evaluation is carried out; and through the national defense department and the non-national defense department, different data models can be established through the two categories when model data is established by the Feider-ram model, so that work such as data comparison and the like can be better carried out.

Description

Technical Field

[0001] The present invention relates to the technical field of the evaluation of the integration of military and civilian sectors, and specifically to a method for measuring and evaluating the integration degree of military and civilian based on the Feder-ram model. Background Art

[0002] Fully promote the integration of military and civilian in various fields such as economy, science and technology, education, and talents, and combine the modernization construction of national defense and the military with economic and social development in a wider range, at a higher level, and to a deeper degree. In the process of the integration of military and civilian, it is often necessary to evaluate the degree of integration. However, the existing military-civilian integration evaluation systems have some deficiencies, such as:

[0003] A quantitative analysis system for military-civilian integration data information with the publication number of CN106845829A determines the weights of each measurement index based on the values of each measurement index, and determines the military-civilian integration index based on the weights of each obtained measurement index. In the measurement process of the present invention, a logical regression function is used to map the indicators, so that the military-civilian integration index can accommodate heterogeneous data, thus more comprehensively reflecting the regional military-civilian integration level. However, in the actual use process, since this system detects the military-civilian integration through data, it may lead to the failure of component analysis when the data difference is too large;

[0004] Therefore, we propose a method for measuring and evaluating the integration degree of military and civilian based on the Feder-ram model to solve the problems raised above. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for measuring and evaluating the integration degree of military and civilian based on the Feder-ram model to solve the problem that most of the current military-civilian integration evaluation systems in the market detect the military-civilian integration through data, which may lead to the failure of component analysis when the data difference is too large as mentioned in the above background art.

[0006] To achieve the above purpose, the present invention provides the following technical solution: A measurement of the integration degree of military and civilian based on the Feder-ram model, which is characterized by including the following units:

[0007] Data Center: The data center is responsible for receiving and processing data models and other data, and after coupling each group of data with the model, the military-civilian integration data is obtained;

[0008] Defense Department: The defense department is responsible for constructing the data model of the military industrial category;

[0009] Non-Defense Department: The non-defense department is responsible for constructing the data models of civilian workers and other categories such as controllable execution units.

[0010] Database: The database is responsible for transmitting the index lines to the data center and saving the data and models.

[0011] Command system: The command system is responsible for transmitting commands to specific regions and observing the action power and mobilization speed after the commands are issued, etc.

[0012] Regulation quantity statistics: The regulation quantity statistics is responsible for counting the quantity, implementation status, and change situation of the regulations issued in specific regions, etc.

[0013] Through the settings of the command system and the regulation quantity statistics, when managers observe the process of military-civilian integration, they can judge why the speed of military-civilian integration increases or decreases based on the flow direction of the population and personnel records, regulations, etc. in the same year, so as to conduct better evaluations. And through the two major parts of the defense department and the non-defense department, when the Feder-ram model establishes model data, different data models can be established through the two major categories, so as to better conduct data comparison and other work.

[0014] As a preferred technical solution of the present invention, the non-defense department has a private department, a public department, and an access department. Among them, the private part counts the data of specific facilities or companies such as enterprises and private factories, while the public department counts the data of public systems such as fire protection and schools, and the access department is responsible for counting the situation of other action powers such as external execution units.

[0015] As a preferred technical solution of the present invention, when counting the data models of the defense department and the non-defense department, according to the Feder-Ram model, which explains the relationship between defense expenditure and economic growth from the supply side, assuming that the total output of the economic system is Y, it can be expressed as a function of inputs and technology, that is:

[0016] Y = F(R, K, T)

[0017] Where: labor R and capital K are two basic factor inputs, and T represents the technical parameter; the technical parameter can be embodied in the inputs, that is, the effective input level, R* = A(T): the technical parameter can be embodied in the inputs, that is, the effective input level, R* = A(T).

[0018] As a preferred technical solution of the present invention, the database includes two units, an index construction library and a data record library. Among them, the index construction library calculates based on the economic index of the same year and the defense expenditure of a specific region, and thus forms an index through data association, while the data record will store the statistical data and models of the defense department and the non-defense department calculated by the data center.

[0019] As a preferred technical solution of the present invention, the command system includes five parts: personnel flow, number record, feedback unit, mobilization unit, and record unit. Among them, the personnel flow is responsible for recording the daily whereabouts of personnel; the number record records the daily change in the number of people; the feedback unit is responsible for observing the implementation strength, and the record unit is responsible for forming a log to record the situation, etc.

[0020] As a preferred technical solution of the present invention, the command system can issue commands to the exercise unit and the field unit through remote connection, while the feedback unit, mobilization unit, and record unit will transmit the exercise situation or field situation to the command system, thereby transmitting the data to the data center.

[0021] As a preferred technical solution of the present invention, the regulation quantity statistics includes three parts: regulation report, execution record, and error reporting unit. Among them, the regulation report is responsible for recording the regulation content regulations and quantities, the execution record is responsible for recording the execution situation, and the error reporting unit enables personnel to report on the regulation content or execution situation, so as to facilitate the administrator to transmit the data to the data center as additional data for modification.

[0022] As a preferred technical solution of the present invention, the regulation quantity statistics will transmit the regulation content to the inside of the regulation report, while the execution record and the error reporting unit will transmit the data to the inside of the data center through the regulation quantity statistics.

[0023] As a preferred technical solution of the present invention, an evaluation method for the degree of military-civilian integration based on the Feder-ram model includes the following steps:

[0024] Step 1:

[0025] Calculate the economic input and corresponding plans of each department by the defense department and non-defense department, and then summarize other information and transmit it to the inside of the data center. Construct the integration index that should be in a specific area in the same year through the index component library;

[0026] Step 2:

[0027] Summarize data such as the personnel flow, the execution situation of personnel records, and the mobilization rate in a specific area through the feedback unit, mobilization unit, and record unit set inside the command system, and transmit it to the inside of the data center through the command system;

[0028] Step 3:

[0029] Check the regulation execution situation through the execution record set inside the regulation quantity statistics, and count the regulation quantity through the regulation report. When an error occurs in the data record, the data can be transmitted to the data center as additional data through the error reporting unit;

[0030] Step 4:

[0031] Couple the data sent by the command system and the regulation quantity statistics with the data models generated by the defense department and the non - defense department through the data center, and then measure the data of the defense department and the non - defense department.

[0032] Compared with the prior art, the beneficial effects of the present invention are as follows: Through the settings of the command system and the regulation quantity statistics, when managers observe the process of military - civilian integration, they can judge why the speed of military - civilian integration increases or decreases based on the flow direction of people, personnel records, regulations, etc. in the same year, so as to conduct a better evaluation; and through the two major parts of the defense department and the non - defense department, when the Feder - ram model establishes model data, different data models can be established through the two major categories, so as to better conduct data comparison and other work;

[0033] Furthermore, through the setting of the index construction library, when the data center conducts data verification or coupling and other work processes, it can compare through the indexes calculated by the index construction library, so as to better conduct military - civilian integration evaluation and other work;

[0034] Even further, by setting an error reporting unit inside the regulation quantity statistics, when an accident occurs in the regulations or the implementation of regulations, it can be reported through the error reporting unit, so that the data can be transmitted to the data center for calculation through additional data, making the data calculated by the data center more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a schematic diagram of the specific unit structure of the present invention;

[0036] Figure 2 It is a schematic diagram of the specific evaluation method flow of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments.

[0038] Please refer to Figure 1-2 , the present invention provides a technical solution: A measurement of the degree of military - civilian integration based on the Feder - ram model, which is characterized by including the following units:

[0039] Data center: The data center is responsible for receiving and processing data models and other data. After coupling each group of data with the model, military - civilian integration data is obtained;

[0040] Defense department: The defense department is responsible for constructing the data model of the military industry category;

[0041] Non - Defense Department: The Non - Defense Department is responsible for constructing data models for civilian workers and other categories such as controllable execution force units;

[0042] Database: The database is responsible for transmitting the index lines to the data center and saving data and models;

[0043] Command System: The command system is responsible for transmitting commands to specific regions and observing the executive power and mobilization speed after the commands are issued, etc.;

[0044] Regulation Quantity Statistics: Regulation Quantity Statistics is responsible for counting the number of regulations issued in a specific region, the implementation status, and changes, etc.

[0045] The Non - Defense Department has a private sector, a public sector, and an incoming - outgoing department. Among them, the private sector counts the data of specific facilities or companies such as enterprises and private factories, while the public sector counts the data of public systems such as fire departments and schools. The incoming - outgoing department is responsible for counting other executive powers such as external executive force units.

[0046] When counting the data models of the Defense Department and the Non - Defense Department, according to the Feder - Ram model which explains the relationship between defense expenditure and economic growth from the supply side, assuming that the total output of the economic system is Y, it can be expressed as a function of inputs and technology, that is:

[0047] Y = F(R, K, T)

[0048] Where: labor R and capital K are two basic factor inputs, T represents the technology parameter; the technology parameter can be embodied in the inputs, that is, the effective input level, R* = A(T); the technology parameter can be embodied in the inputs, that is, the effective input level, R* = A(T);

[0049] Considering the interaction effects of different departments, the model variables depend on external effects and the number of included departments; to make the established growth equation easy to operate, we select a two - department model including the Defense Department and the Non - Defense Department in the local area for analysis; that is:

[0050] D = D(Kp, R)

[0051] In N = N(K, Rw, D), the Defense Department has a positive externality on the Non - Defense Department, that is, θN / θD>0. Therefore, the output N depends not only on the factor inputs Kv and RN but also on D, and the Defense Department D affects the economic system Y through the scale effect and externality of production factors;

[0052] Y = N + D

[0053] Dr / Nk - D1 / Nk = 1 + δ

[0054] Where N = θN / θD, the total output Y of the economic system is determined by (N + D), and Dk / Nk = D1 / N1 + δ indicates that the marginal productivities of factors in the N and D sectors are different;

[0055] Through this principle and other materials, the basic program can be input into the data center to establish a data model for the economic inputs and economic system of the defense sector and non - defense sectors, namely the private sector, public sector, and import - export sector.

[0056] The database includes two units: an index construction library and a data record library. The index construction library calculates based on the economic index of the same year and the defense expenditure of a specific region, and thus forms indexes through data association. The data record stores the statistical data of the defense and non - defense sectors calculated by the data center and the model.

[0057] The command system includes five parts: personnel flow, number record, feedback unit, mobilization unit, and record unit. The personnel flow is responsible for recording the daily whereabouts of personnel; the number record records the daily change in the number of people; the feedback unit is responsible for observing the implementation strength, and the record unit is responsible for forming a log to record the situation, etc. After the data summary registration is completed, it will be transmitted to the data center through the command system for verification; as shown in Table 1:

[0058] Personnel flow Number record Feedback (actual arrival) Mobilization rate Recording unit Observation station 881 866 98.3％ Under normal circumstances Hydropower station 102 102 100％ Under normal circumstances Private enterprise 20 19 95％ Under normal circumstances

[0059] Table 1

[0060] The command system can issue commands to the exercise unit and the field unit through remote connection, and the feedback unit, mobilization unit, and record unit will transmit the exercise situation or field situation to the command system, thereby transmitting the data to the data center.

[0061] The regulation quantity statistics includes three parts: regulation report, execution record, and error - reporting unit. The regulation report is responsible for recording the content regulations and quantity of regulations, the execution record is responsible for recording the execution situation, and the error - reporting unit enables personnel to report on the regulation content or execution situation, facilitating the administrator to transmit the data to the data center as additional data for modification. After the modification is completed through the error - reporting unit, if the data passes the review, it will be transmitted to the data center as additional data for calculation, making the calculation in the data center more accurate.

[0062] The regulation quantity statistics transmits the content regulations of the regulations to the regulation report, and the execution record and error - reporting unit transmit the data to the data center through the regulation quantity statistics. The specific content is shown in Table 2:

[0063]

[0064] Table 2

[0065] An evaluation method for the degree of military-civilian integration based on the Feder-ram model, comprising the following steps:

[0066] Step 1:

[0067] Calculate the economic input and corresponding plans of each department through the defense department and non-defense department, and then summarize other information and transmit it to the inside of the data center. Construct the integration index that should be in a specific area in the same year through the index component library;

[0068] Step 2:

[0069] Summarize data such as the personnel flow, the implementation of personnel records, and the mobilization rate in a specific area through the feedback unit, mobilization unit, and recording unit set inside the command system, and transmit it to the inside of the data center through the command system;

[0070] Step 3:

[0071] Check the implementation of regulations through the execution records set inside the regulation quantity statistics, and count the regulation quantity through the regulation report. When data records are incorrect, the data can be transmitted to the data center as additional data through the error reporting unit;

[0072] Step 4:

[0073] Couple the data sent by the command system and the regulation quantity statistics with the data models generated by the defense department and non-defense department through the data center, so as to calculate the data of the defense department and non-defense department.

[0074] Thus, a series of work is completed. The content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0075] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention. Therefore, in any regard, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be encompassed within the present invention. Any reference signs in the claims should not be regarded as limiting the claimed rights.

Claims

1. A measurement of the degree of military-civilian integration based on the Feder-ram model, characterized in that It includes the following units: Data Center: The data center is responsible for receiving and processing data models and other data. After coupling each group of data with the model, military-civilian integrated data is obtained; Defense Department: The defense department is responsible for constructing data models for military industrial categories; Non-Defense Department: The non-defense department is responsible for constructing data models for civilian workers and other categories such as controllable execution units; Database: The database is responsible for transmitting index lines to the data center and saving data and models; Command System: The command system is responsible for transmitting commands to specific regions and observing the action force and mobilization speed after the order is issued, etc.; Regulation Quantity Statistics: Regulation quantity statistics is responsible for counting the number of regulations issued in a specific region, the implementation status, changes, etc.; 2. The measurement of the degree of military-civilian integration based on the Feder-ram model according to claim 1, wherein The non-defense department has a private department, a public department, and an incoming and outgoing department. Among them, the private part counts the data of specific facilities or companies such as enterprises and private factories, while the public department counts the data of public systems such as fire protection and schools. The incoming and outgoing department is responsible for counting other action forces such as external execution units; 3. The measurement of the degree of military-civilian integration based on the Feder-ram model according to claim 1, characterized in that, When counting the data models of the defense department and the non-defense department, according to the Feder-Ram model, which explains the relationship between defense expenditure and economic growth from the supply side, assuming that the total output of the economic system is Y, it can be expressed as a function of inputs and technology, that is: Y = F(R, K, T) Where: labor R and capital K are two basic factor inputs, and T represents the technology parameter; the technology parameter can be embodied in the inputs, that is, the effective input level, R* = A(T). The technology parameter can be embodied in the inputs, that is, the effective input level, R* = A(T).

4. The measurement of the degree of military-civilian integration based on the Feder-ram model according to claim 1, wherein The database includes two units, an index construction library and a data record library. Among them, the index construction library calculates based on the economic index of the same year and the defense expenditure of a specific region, and thus forms an index through data association. The data record will store the statistical data and models of the defense department and the non-defense department calculated by the data center; 5. The measurement of the degree of military-civilian integration based on the Feder-ram model according to claim 1, wherein The command system includes five parts: personnel flow, number record, feedback unit, mobilization unit, and record unit. Among them, the personnel flow is responsible for recording the daily whereabouts of personnel; the number record records the daily number of changes; the feedback unit is responsible for observing the execution strength, and the record unit is responsible for forming a log to record the situation, etc.; 6. The measurement of the degree of military-civilian integration based on the Feder-ram model according to claim 1, wherein The command system can issue commands to the exercise unit and the field unit through remote connection, and the feedback unit, mobilization unit, and record unit will transmit the exercise situation or field situation to the command system, so as to transmit the data to the data center; 7. The measurement of the degree of military-civilian integration based on the Feder-ram model according to claim 1, characterized in that, Regulation quantity statistics includes three parts: regulation report, execution record, and error reporting unit. Among them, the regulation report is responsible for recording the regulation content regulations and quantity, the execution record is responsible for recording the execution situation, and the error reporting unit enables personnel to report the regulation content or execution situation, so as to facilitate the administrator to transmit the data to the data center as additional data for modification; 8. The measurement of the degree of military-civilian integration based on the Feder-ram model according to claim 1, characterized in that, Regulation quantity statistics will transmit the regulation content to the inside of the regulation report, and the execution record and error reporting unit will transmit the data to the inside of the data center through regulation quantity statistics; 9. An evaluation method for the degree of military-civilian integration based on the Feder-ram model, characterized in that, The steps are as follows: Step 1: Calculate the economic inputs and corresponding plans of each department through the defense department and non-defense departments, and then summarize other information and transmit it to the inside of the data center. Construct the integration index that should be in a specific region in the same year through the index component library; Step 2: Summarize data such as the personnel flow in a specific region, the implementation of personnel records, and the mobilization rate through the feedback unit, mobilization unit, and recording unit set inside the command system, and transmit it to the inside of the data center through the command system; Step 3: Check the implementation of regulations through the execution records set inside the regulation quantity statistics, and count the regulation quantity through the regulation report. When data records are incorrect, the data can be transmitted to the data center as additional data through the error reporting unit; Step 4: Couple the data sent by the command system and the regulation quantity statistics with the data models generated by the defense department and non-defense departments through the data center, so as to measure the data of the defense department and non-defense departments.

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