CN115371490A - General comprehensive electronic information system data acquisition equipment for self-propelled artillery - Google Patents
General comprehensive electronic information system data acquisition equipment for self-propelled artillery Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F41A—FUNCTIONAL FEATURES OR DETAILS COMMON TO BOTH SMALLARMS AND ORDNANCE, e.g. CANNONS; MOUNTINGS FOR SMALLARMS OR ORDNANCE
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- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
Abstract
The embodiment of the specification provides a method and a device for analyzing the reliability of data acquisition equipment of a general integrated electronic information system of a self-propelled gun, wherein the method comprises the following steps: determining a basic reliability model based on the structure of the data acquisition equipment of the self-propelled artillery universal integrated electronic information system; distributing the reliability index to each component unit of the basic reliability model, obtaining a reliability distribution result, predicting the reliability of each component unit subjected to reliability distribution according to a reliability design criterion, and verifying the distribution of the reliability index through the prediction result; and analyzing the fault mode and the fault influence by adopting the FMEA to obtain an FMEA analysis result. And generating a reliability analysis result of the self-propelled artillery general comprehensive electronic information system data acquisition equipment based on the reliable new prediction and the FMEA analysis result.
Description
Technical Field
The document relates to the technical field of computers, in particular to a method and a device for analyzing the reliability of data acquisition equipment of a self-propelled artillery general comprehensive electronic information system.
Background
In the prior art, it is an urgent problem to analyze the reliability of the general integrated electronic information system of the self-propelled artillery, and therefore, a method for analyzing the reliability of the general integrated electronic information system of the self-propelled artillery is urgently needed.
Disclosure of Invention
The invention aims to provide a method and a device for analyzing the reliability of data acquisition equipment of a general integrated electronic information system of a self-propelled gun, and aims to solve the problems in the prior art.
The invention provides a reliability analysis method for a data acquisition device of a general integrated electronic information system of a self-propelled gun, which comprises the following steps:
determining a basic reliability model based on the structure of the data acquisition equipment of the self-propelled artillery general comprehensive electronic information system, wherein the basic reliability model is used for analyzing, calculating and evaluating the basic reliability of the data acquisition equipment of the self-propelled artillery general comprehensive electronic information system and is a model formed by connecting a plurality of composition units in series;
distributing the reliability indexes to each composition unit of the basic reliability model, obtaining a reliability distribution result, predicting the reliability of each composition unit subjected to reliability distribution according to a reliability design rule, and verifying the distribution of the reliability indexes through the prediction result;
and analyzing the fault mode and the fault influence by adopting the FMEA to obtain an FMEA analysis result.
And generating a reliability analysis result of the self-propelled artillery general comprehensive electronic information system data acquisition equipment based on the reliable new prediction and the FMEA analysis result.
The invention provides a reliability analysis device for a data acquisition device of a general integrated electronic information system of a self-propelled gun, which comprises:
the reliability model module is used for determining a basic reliability model based on the structure of the data acquisition equipment of the self-propelled artillery general comprehensive electronic information system, wherein the basic reliability model is used for analyzing, calculating and evaluating the basic reliability of the data acquisition equipment of the self-propelled artillery general comprehensive electronic information system and is a model formed by connecting a plurality of composition units in series;
the distribution prediction module is used for distributing the reliability indexes to all the composition units of the basic reliability model, acquiring a reliability distribution result, performing reliability prediction on all the composition units subjected to the reliability distribution according to a reliability design rule, and verifying the distribution of the reliability indexes through the prediction result;
and the FMEA module is used for analyzing the fault mode and the fault influence by adopting FMEA to obtain an FMEA analysis result.
And the generating module is used for generating a reliability analysis result of the self-propelled artillery general comprehensive electronic information system data acquisition equipment based on the reliable new prediction and the FMEA analysis result.
By adopting the embodiment of the invention, the reliability of the data acquisition equipment of the universal integrated electronic information system for the self-propelled artillery can be completely and comprehensively analyzed, and scientific data are provided for the use of the data acquisition equipment of the universal integrated electronic information system for the self-propelled artillery.
Drawings
In order to more clearly illustrate one or more embodiments or prior art solutions of the present specification, the drawings that are needed in the description of the embodiments or prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and that other drawings can be obtained by those skilled in the art without inventive exercise.
FIG. 1 is a schematic structural diagram of a data acquisition device of a general integrated electronic information system for self-propelled artillery according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for analyzing the reliability of a data acquisition device of a general integrated electronic information system for self-propelled artillery according to an embodiment of the present invention;
FIG. 3 is a block diagram of the basic reliability of an acquisition device of an embodiment of the present invention;
FIG. 4 is a schematic illustration of a key product range definition of an embodiment of the present invention;
FIG. 5 is a schematic diagram of a reliability analysis device of a data acquisition device of a general integrated electronic information system for self-propelled artillery according to an embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in one or more embodiments of the present disclosure, the technical solutions in one or more embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in one or more embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all embodiments. All other embodiments that can be derived by a person skilled in the art from one or more of the embodiments described herein without making any inventive step shall fall within the scope of protection of this document.
In the embodiment of the present invention, a structure of a data collecting device of a general integrated electronic information system for a self-propelled gun is first described, as shown in fig. 1, the data collecting device of the general integrated electronic information system for a self-propelled gun according to the embodiment of the present invention specifically includes:
the signal acquisition module is connected with the core control module and is used for acquiring CAN bus information of a vehicle chassis comprehensive electronic information system in real time through a CAN bus interface or applying a CAN bus excitation signal and acquiring vehicle related sensor state parameters or applying a sensor excitation signal through a detection cable;
the core control module is used for controlling the acquisition and storage of CAN bus information of a vehicle chassis comprehensive electronic information system and state parameters of a vehicle related sensor, and controlling and outputting a CAN bus excitation signal and a sensor excitation signal according to detection requirements, so that fault detection and positioning are carried out on a detected object, system management of the self-propelled gun general comprehensive electronic information system data acquisition equipment is carried out, a liquid crystal display screen is driven to display, interaction with a remote diagnosis and management system is carried out, and the functions of situation display, remote control, data management, system setting and system help are realized through the remote diagnosis and management system; the CPU of the core control module adopts an LS1021 series processor of an ARM cortex R-A7 MPCore core, and configures a DDR3 system memory, and the interface of the core control module specifically comprises: SATA3.0 x 1, PCIE2.0 x 1 x 2, gbE x 1, UART, CAN, SPI, GPIO, I2C, LPC and Audio interface, through SGMII interface and PHY chip AR8033 interconnection.
The liquid crystal display screen is connected with the core control module and is used for performing test detection, data management, system management and display and man-machine interaction of use help under the driving of the core control module;
the interconnected wireless networking equipment is connected with the core control module and is used for transmitting the acquired CAN bus information of the vehicle chassis comprehensive electronic information system and the state parameters, control information and fault information of the vehicle related sensors in real time or exporting the information to the remote diagnosis and management system through a network interface; the interconnected wireless networking equipment is wireless MESH ad hoc networking equipment based on a COFDM technology and a MESH multi-hop ad hoc networking technology.
And the power supply module is used for supplying power to other modules in the self-propelled artillery general comprehensive electronic information system data acquisition equipment.
The storage module is connected with the core control module and is used for storing CAN bus information of a vehicle chassis comprehensive electronic information system and vehicle related sensor state parameters;
the storage module specifically comprises: the solid-state storage module is provided with an SATA3.0 interface, the physical interface is in a standard SATA interface form, and the electrical interface adopts the SATA3.0 standard.
The reliability analysis method for the self-propelled gun general comprehensive electronic information system data acquisition equipment in the embodiment of the invention is explained in detail below.
According to an embodiment of the present invention, a method for analyzing the reliability of a data collection device of a general integrated electronic information system for a self-propelled gun is provided, fig. 2 is a flowchart of the method for analyzing the reliability of the data collection device of the general integrated electronic information system for a self-propelled gun according to the embodiment of the present invention, and as shown in fig. 2, the method for analyzing the reliability of the data collection device of the general integrated electronic information system for a self-propelled gun according to the embodiment of the present invention specifically includes:
step 201, determining a basic reliability model based on the structure of the self-propelled artillery general integrated electronic information system data acquisition equipment, wherein the basic reliability model is used for analyzing, calculating and evaluating the basic reliability of the self-propelled artillery general integrated electronic information system data acquisition equipment and is a model formed by connecting a plurality of composition units in series; the plurality of constituent units specifically include: the device comprises a case, an electric connector, a power supply module, a signal acquisition module, a core processing module and a data transmission module. The basic reliability model is as follows:
λ S ＝λ 1 +λ 2 +λ 3 +λ 4 +λ 5 +λ 6 formula 2;
MTBF S ＝1/λ S formula 3;
wherein λ is i Is the failure rate of each constituent unit, lambda S The overall failure rate.
Step 202, distributing the reliability indexes to each component unit of the basic reliability model, obtaining reliability distribution results, carrying out reliability prediction on each component unit subjected to reliability distribution according to reliability design criteria, and verifying the distribution of the reliability indexes through prediction results;
distributing the reliability indexes to each component unit of the basic reliability model, and acquiring a reliability distribution result specifically comprises the following steps:
distributing the reliability indexes to each component unit of the basic reliability model by adopting a comprehensive factor distribution method, wherein the factors of the comprehensive factor distribution method specifically comprise: complexity factor, importance factor, environment factor, standardization factor, maintainability factor and component quality factor;
based on the complexity factor, the importance factor, the environmental factor, the standardization factor, the maintainability factor and the component quality factor, the reliability distribution result is obtained according to the formulas 4 to 7:
λ sj ＝K sj /K S ·λ S equation 6;
MTBF sj ＝1/λ Sj equation 7;
wherein, K ji For each evaluation factor; k sj Multiplying each evaluation factor; k s The product sum of each evaluation factor is obtained; lambda [ alpha ] sj Failure rate of each unit; MTBF (methyl tert-butyl ether) sj Mean time between failures for each cell.
The reliability prediction of each component unit subjected to reliability allocation specifically includes:
calculating according to the device parameters of each component unit and the calculation formula of the failure rate of each component unit, and calculating the working failure rate of each component unit, wherein the device parameters comprise: the type, model specification and number of used components;
and summing the working failure rates of all the component units to obtain the overall failure rate of the data acquisition equipment of the general comprehensive electronic information system of the self-propelled gun.
And step 203, analyzing the failure mode and the failure influence by adopting the FMEA to obtain an FMEA analysis result. Step 203 specifically comprises: obtaining FMEA analysis parameters, wherein the FMEA analysis parameters specifically comprise: the method comprises the following steps of collecting assumed conditions in FMEA (failure mode analysis) of equipment, decomposing the function and structure of data collection equipment of a self-propelled gun general comprehensive electronic information system, dividing equipment levels, fault conditions, fault occurrence probability levels, fault severity categories and key fault mode ranges;
and establishing an FMEA working table according to the FMEA analysis parameters to obtain an FMEA analysis result.
And step 204, generating a reliability analysis result of the self-propelled artillery general integrated electronic information system data acquisition equipment based on the reliable new prediction and the FMEA analysis result.
The above technical solutions of the embodiments of the present invention are described in detail below with reference to the accompanying drawings.
Basic reliability model: and dividing reliability prediction units according to the basic functions of the acquisition equipment. The prediction units are mutually independent in function, a basic reliability model of the acquisition equipment is determined to be a series model, and a basic reliability function diagram is shown in figure 3.
The basic reliability model is a mathematical model established for analyzing, calculating and evaluating the basic reliability of the acquisition equipment. All the functional units forming the acquisition equipment are required to be repaired when faults occur, so that the basic reliability of the system is influenced, and therefore, the basic reliability model of the acquisition equipment is a full-series model.
Wherein λ is i For each part failure rate, λ S Overall failure rate;
λ S ＝λ 1 +λ 2 +λ 3 +λ 4 +λ 5 +λ 6 (2)
MTBF S ＝1/λ S (3)
distributing reliability indexes: in order to ensure that the reliability of the acquisition equipment reaches a target value, the reliability index is distributed to each composition unit, and the reliability of the whole acquisition equipment is ensured through the reliability of each unit. When reliability allocation is carried out, a comprehensive factor allocation method is adopted. The comprehensive factor distribution method is a distribution method which expresses the influence of various factors by different factors. The complexity factor, the importance factor, the environmental factor, the standardization factor, the maintainability factor and the component quality factor of the unit are mainly considered in the distribution, and the value range is 1-10.
Complexity factor: is evaluated according to the number of components and the difficulty of assembly. The most complex score is 10 points, the simplest score is 1 point;
the important factors are: and (4) evaluating according to the importance. The highest score of 10 and the lowest score of 1;
maintenance factors: according to the difficulty of maintenance. The most difficult score is 10, the most easy score is 1;
environmental factors: according to the environment. The scale of the working process is 10 points when the working process is subjected to extremely severe and severe environmental conditions, and the scale of the best environmental conditions is 1 point;
normalization factor: assessed according to the degree of standardization. The lowest score of 10, the highest score of 1;
quality factor: and evaluating according to the vulnerability degree of the quality of the components. The score was 10 for vulnerable and 1 for not vulnerable.
Reliability allocation: the reliability index MTBF of the overall distribution collection equipment is 300h. Lambda [ alpha ] s The value was 3333X 10-6 (1/h). In the distribution, the complex factor, the importance factor, the environment factor, the standardization factor, the maintainability factor and the component quality factor are mainly considered, and the expert provides the item-by-item scores of the factors. The distribution results of the reliability indexes of the acquisition equipment are shown in table 1.
TABLE 1 Collection of device reliability assignment results
λ sj ＝K sj /K S ·λ S (6)
MTBF sj ＝1/λ Sj (7)
In the formula:
K ji -each evaluation factor;
K sj -each evaluation factor product;
K s -sum of products of evaluation factors;
λ sj -each unit failure rate;
MTBF sj -mean time between failure for each cell.
Reliability prediction: according to the reliability design criteria, reliability prediction is carried out on the products subjected to reliability distribution, so that the reliability indexes are verified, and weak links of the reliability are found. Reliability is predicted using stress analysis. According to GJB299C-2006 electronic equipment reliability prediction handbook, firstly, the reliability indexes of all units are predicted, and then the reliability indexes of the whole machine are predicted. And the failure rate of each unit is estimated by adopting a component stress analysis reliability estimation method, and the sum of the failure rates of components in the unit is the unit failure rate. In the design of a prototype, the quality grade of an integrated circuit of an imported component is B1 grade, and other components are military grade generally. In the integrated circuit of the domestic components and parts, the quality grade of the semiconductor discrete components adopts B1 grade, and the other quality grades adopt A grade. The environment is classified as severe ground movement (GM 2). And calculating according to the type, model specification, use quantity and other parameters of the components used by each unit in the acquisition equipment and the calculation formula of the respective failure rate to calculate the respective work failure rate. The following lists the major component and part failure rate calculation processes.
The failure rate prediction model of the LS1021 and DDR3 memory chips of the microprocessor is as follows:
λ P ＝π Q [C 1 π T π V +(C 2 +C 3 )π E ]π L
the failure rate prediction model of the FLASH memory chip is as follows:
λ P ＝π Q [C 1 π T π V π CYC +(C 2 +C 3 )π E ]π L
the failure rate prediction model of the printed board is as follows:
λ P ＝(λ b1 N+λ b2 )π E π Q π C
the parameters in the above formula are confirmed according to GJB299C-2006 electronic equipment reliability prediction handbook. Calculating to obtain the failure rate of each unit of the acquisition equipment, and summing to obtain the failure rate of the acquisition equipment, as shown in the following formula:
MTBF＝1/λP＝1/800×10-6＝1250h
the MTBF of the whole collection equipment is 1250h by calculation.
The reliability prediction and reliability distribution prediction summary table of each component of the acquisition equipment is shown in table 2 and table 3.
TABLE 2 reliability prediction Table
| Name (R) | Expected value λ p (10) -6 /h) | MTBF expected value (h) |
| Core processing module | 346 | 2747 |
| Data transmission module | 89 | 11235 |
| Signal acquisition module | 164 | 6097 |
| Power supply module | 84 | 11905 |
| Electrical connector | 57 | 17544 |
| Cabinet | 60 | 16667 |
| Total of | 800 | 1250 |
TABLE 3 summary of reliability prediction assignments
| Name (R) | Assigned value (10) -6 /h) | MTBF distribution value (h) | Predicted value (10) -6 /h) | MTBF expected value (h) |
| Core processing module | 1440 | 694 | 346 | 2747 |
| Data transmission module | 372 | 2688 | 89 | 11235 |
| Signal acquisition module | 682 | 1466 | 164 | 6097 |
| Power supply module | 352 | 2841 | 84 | 11905 |
| Electrical connector with improved contact arrangement | 239 | 4184 | 57 | 17544 |
| Cabinet | 248 | 4032 | 60 | 16667 |
| Total of | λs＝3333 | MTBF＝300 | λ P ＝165.0 | MTBF＝1250 |
FMEA analysis conditions:
hypothetical conditions in the FMEA analysis of the acquisition device: the bottom events are independent from each other; the unit, the component and the system only have normal and fault states; assuming that any failure is single failure, no subordinate failure and multiple failures; the units and parts are subject to exponential distribution.
Appointment level: the analysis method adopted at this time is a hardware quantitative method.
According to the function and structure decomposition of the acquisition equipment, the division levels are as follows: the initial appointed layer is acquisition equipment; the second agreed hierarchy is board level components; the lowest contracted level is the functional subcircuit.
And (3) fault criterion: when the following conditions occur in the acquisition equipment, the failure of the acquisition equipment is judged: after power-on, the touch screen does not display, and power-on fails; after the power is on, the touch screen displays abnormity, and the communication bus or the acquisition module breaks down.
Failure occurrence probability level: the failure occurrence probability levels are shown in table 4.
TABLE 4 probability of failure occurrence grade
Definition of severity category: the purpose of determining the severity category for each failure mode and product is to provide a basis for scheduling improvement measures. Elimination of class i and class ii failure modes is a priority. When the lower appointed product loses input or output and the normal work of the higher appointed product is endangered, measures should be taken, and the definition of the severity is shown in a table 5.
TABLE 5 Severness Classification Table of Collection Equipment
Critical failure mode range: the uniformly defined range definition is shown in fig. 4 according to the critical failure mode range in the set hazard matrix.
FMEA worksheet: the device contract hierarchy is illustrated in Table 6 and the FMEA worksheet is illustrated in Table 7.
TABLE 6 device contract hierarchy Specification
| Appointment hierarchies | Object |
| Initial contract hierarchy | Collection equipment |
| Second contract level | Plate-level component |
| Lowest contract hierarchy | Functional sub-circuit |
TABLE 7 FMEA Fault patterns, impact analysis
In conclusion, by means of the technical scheme of the embodiment of the invention, the reliability of the self-propelled gun universal comprehensive electronic information system data acquisition equipment can be completely and comprehensively analyzed, and scientific data are provided for the use of the self-propelled gun universal comprehensive electronic information system data acquisition equipment.
Apparatus embodiment
According to an embodiment of the present invention, there is provided a reliability analysis device for a data collection device of a general integrated electronic information system for a self-propelled gun, fig. 5 is a schematic diagram of the reliability analysis device for the data collection device of the general integrated electronic information system for a self-propelled gun according to the embodiment of the present invention, as shown in fig. 5, the reliability analysis device for the data collection device of the general integrated electronic information system for a self-propelled gun according to the embodiment of the present invention specifically includes:
the reliability model module 50 is used for determining a basic reliability model based on the structure of the self-propelled artillery general integrated electronic information system data acquisition equipment, wherein the basic reliability model is used for analyzing, calculating and evaluating the basic reliability of the self-propelled artillery general integrated electronic information system data acquisition equipment and is a model formed by connecting a plurality of composition units in series; the plurality of constituent units specifically include: the device comprises a case, an electric connector, a power supply module, a signal acquisition module, a core processing module and a data transmission module;
the basic reliability model is as follows:
λ S ＝λ 1 +λ 2 +λ 3 +λ 4 +λ 5 +λ 6 formula 2;
MTBF S ＝1/λ S formula 3;
wherein λ is i Is the failure rate of each constituent unit, lambda S The overall failure rate.
A distribution prediction module 52, configured to distribute the reliability index to each component unit of the basic reliability model, obtain a reliability distribution result, perform reliability prediction on each component unit subjected to reliability distribution according to a reliability design criterion, and verify the distribution of the reliability index according to the prediction result; the allocation anticipation module 52 is specifically configured to:
distributing the reliability indexes to each component unit of the basic reliability model by adopting a comprehensive factor distribution method, wherein the factors of the comprehensive factor distribution method specifically comprise: complexity factor, importance factor, environment factor, standardization factor, maintainability factor and component quality factor;
based on the complexity factor, the importance factor, the environmental factor, the standardization factor, the maintainability factor and the component quality factor, obtaining a reliability distribution result according to formulas 4 to 7:
λ sj ＝K sj /K S ·λ S equation 6;
MTBF sj ＝1/λ Sj equation 7;
wherein, K ji For each evaluation factor; k sj Multiplying each evaluation factor; k s The product sum of each evaluation factor is obtained; lambda [ alpha ] sj Failure rate of each unit; MTBF (methyl tert-butyl ether) sj Averaging the fault interval time for each cell;
calculating according to the device parameters of each component unit and the calculation formula of the failure rate of each component unit, and calculating the working failure rate of each component unit, wherein the device parameters comprise: the type, model specification and number of used components;
and summing the working failure rates of all the component units to obtain the overall failure rate of the data acquisition equipment of the general comprehensive electronic information system of the self-propelled gun.
And the FMEA module 54 is used for analyzing the fault mode and the fault influence by adopting FMEA to obtain an FMEA analysis result. The FMEA module 54 is specifically configured to:
obtaining FMEA analysis parameters, wherein the FMEA analysis parameters specifically comprise: the method comprises the following steps of collecting assumed conditions in FMEA (failure mode analysis) of equipment, decomposing the function and structure of data collection equipment of a self-propelled gun general comprehensive electronic information system, dividing equipment levels, fault conditions, fault occurrence probability levels, fault severity categories and key fault mode ranges;
and establishing an FMEA working table according to the FMEA analysis parameters to obtain an FMEA analysis result.
And the generating module 56 is used for generating a reliability analysis result of the self-propelled artillery general comprehensive electronic information system data acquisition equipment based on the reliable new prediction and the FMEA analysis result.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A reliability analysis method for a data acquisition device of a self-propelled artillery general comprehensive electronic information system is characterized by comprising the following steps:
determining a basic reliability model based on the structure of the self-propelled artillery general comprehensive electronic information system data acquisition equipment, wherein the basic reliability model is used for analyzing, calculating and evaluating the basic reliability of the self-propelled artillery general comprehensive electronic information system data acquisition equipment and is a model formed by connecting a plurality of composition units in series;
distributing the reliability index to each component unit of the basic reliability model, obtaining a reliability distribution result, predicting the reliability of each component unit subjected to reliability distribution according to a reliability design criterion, and verifying the distribution of the reliability index through the prediction result;
analyzing a fault mode and fault influence by adopting FMEA (failure mode and effects analysis), and acquiring an FMEA analysis result;
and generating a reliability analysis result of the self-propelled artillery general comprehensive electronic information system data acquisition equipment based on the reliable new prediction and the FMEA analysis result.
2. The method according to claim 1, wherein the plurality of constituent units specifically comprises: the device comprises a case, an electric connector, a power supply module, a signal acquisition module, a core processing module and a data transmission module.
3. The method of claim 2, wherein the basic reliability model is:
λ S ＝λ 1 +λ 2 +λ 3 +λ 4 +λ 5 +λ 6 formula 2;
MTBF S ＝1/λ S formula 3;
wherein λ is i Is the failure rate of each constituent unit, lambda S The overall failure rate.
4. The method according to claim 1, wherein the reliability index is assigned to each component unit of the basic reliability model, and obtaining the reliability assignment result specifically comprises:
distributing the reliability indexes to each component unit of the basic reliability model by adopting a comprehensive factor distribution method, wherein the factors of the comprehensive factor distribution method specifically comprise: complexity factor, importance factor, environment factor, standardization factor, maintainability factor and component quality factor;
based on the complexity factor, the importance factor, the environmental factor, the standardization factor, the maintainability factor and the component quality factor, the reliability distribution result is obtained according to the formulas 4 to 7:
λ sj ＝K sj /K S ·λ S equation 6;
MTBF sj ＝1/λ Sj equation 7;
wherein, K ji For each evaluation factor; k is sj Multiplying each evaluation factor; k s The product sum of each evaluation factor is obtained; lambda [ alpha ] sj Failure rate of each unit; MTBF (methyl tert-butyl ether) sj Mean time between failures for each cell.
5. The method of claim 1, wherein the reliability prediction for each reliability-assigned component unit specifically comprises:
calculating according to the device parameters of each component unit and the calculation formula of the failure rate of each component unit, and calculating the working failure rate of each component unit, wherein the device parameters comprise: the type, model specification and number of used components;
and summing the working failure rates of all the component units to obtain the overall failure rate of the data acquisition equipment of the general comprehensive electronic information system of the self-propelled gun.
6. The method according to claim 1, wherein FMEA is used for analyzing the failure mode and the failure effect, and obtaining the FMEA analysis result specifically includes:
obtaining FMEA analysis parameters, wherein the FMEA analysis parameters specifically comprise: the method comprises the following steps of collecting assumed conditions in FMEA (failure mode analysis) of equipment, decomposing the function and structure of data collection equipment of a self-propelled gun general comprehensive electronic information system, dividing equipment levels, fault conditions, fault occurrence probability levels, fault severity categories and key fault mode ranges;
and establishing an FMEA working table according to the FMEA analysis parameters to obtain an FMEA analysis result.
7. The utility model provides a general comprehensive electronic information system data acquisition equipment reliability analysis device of proper motion artillery which characterized in that includes:
the reliability model module is used for determining a basic reliability model based on the structure of the self-propelled artillery general comprehensive electronic information system data acquisition equipment, wherein the basic reliability model is used for analyzing, calculating and evaluating the basic reliability of the self-propelled artillery general comprehensive electronic information system data acquisition equipment and is a model formed by connecting a plurality of composition units in series;
the distribution prediction module is used for distributing the reliability indexes to all the composition units of the basic reliability model, acquiring a reliability distribution result, performing reliability prediction on all the composition units subjected to the reliability distribution according to a reliability design rule, and verifying the distribution of the reliability indexes through the prediction result;
and the FMEA module is used for analyzing the fault mode and the fault influence by adopting FMEA to obtain an FMEA analysis result.
And the generating module is used for generating a reliability analysis result of the self-propelled artillery general comprehensive electronic information system data acquisition equipment based on the reliable new prediction and the FMEA analysis result.
8. The apparatus according to claim 7, wherein the plurality of constituent units specifically include: the device comprises a case, an electric connector, a power supply module, a signal acquisition module, a core processing module and a data transmission module;
the basic reliability model is as follows:
λ S ＝λ 1 +λ 2 +λ 3 +λ 4 +λ 5 +λ 6 formula 2;
MTBF S ＝1/λ S formula 3;
wherein λ is i Is the failure rate of each constituent unit, lambda S The overall failure rate.
9. The apparatus of claim 7, wherein the allocation prediction module is specifically configured to:
distributing the reliability indexes to each component unit of the basic reliability model by adopting a comprehensive factor distribution method, wherein the factors of the comprehensive factor distribution method specifically comprise: complexity factors, importance factors, environmental factors, standardization factors, maintainability factors and component quality factors;
based on the complexity factor, the importance factor, the environmental factor, the standardization factor, the maintainability factor and the component quality factor, obtaining a reliability distribution result according to formulas 4 to 7:
λ sj ＝K sj /K S ·λ S equation 6;
MTBF sj ＝1/λ Sj equation 7;
wherein, K ji For each evaluation factor; k sj Multiplying each evaluation factor; k is s The product sum of each evaluation factor is obtained; lambda [ alpha ] sj Failure rate of each unit; MTBF (methyl tert-butyl ether) sj Averaging the fault interval time for each unit;
calculating according to the device parameters of each component unit and the calculation formula of the failure rate of each component unit, and calculating the working failure rate of each component unit, wherein the device parameters comprise: the type, model specification and number of used components;
and summing the working failure rates of all the component units to obtain the overall failure rate of the data acquisition equipment of the general comprehensive electronic information system of the self-propelled gun.
10. The apparatus of claim 7, wherein the FMEA module is specifically configured to:
obtaining FMEA analysis parameters, wherein the FMEA analysis parameters specifically comprise: the method comprises the following steps of collecting assumed conditions in FMEA (failure mode analysis) of equipment, decomposing the function and structure of data collection equipment of a self-propelled gun general comprehensive electronic information system, dividing equipment levels, fault conditions, fault occurrence probability levels, fault severity categories and key fault mode ranges;
and establishing an FMEA working table according to the FMEA analysis parameters, and acquiring an FMEA analysis result.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116644590A (en) * | 2023-05-31 | 2023-08-25 | 中国人民解放军国防科技大学 | Method, device, equipment and storage medium for predicting reliability of communication test equipment |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020174384A1 (en) * | 2001-05-16 | 2002-11-21 | Graichen Catherine Mary | System, method and computer product for performing automated predictive reliability |
| US20040044499A1 (en) * | 2002-08-30 | 2004-03-04 | House Michael Brynn | Method and system for determining motor reliability |
| CN201377965Y (en) * | 2009-08-14 | 2010-01-06 | 中国航空综合技术研究所 | Condensation-preventing device in comprehensive reliability test system |
| CN203422017U (en) * | 2013-05-10 | 2014-02-05 | 中国人民解放军总装备部军械技术研究所 | Artillery integrated management system detector based on CAN bus |
| CN104121804A (en) * | 2014-07-23 | 2014-10-29 | 中北大学 | Self-loading system early failure predicting method based on multi-field information fusion |
| CN209263788U (en) * | 2018-12-14 | 2019-08-16 | 齐齐哈尔北方机器有限责任公司 | A kind of cannon assembly reliability experimental rig electrical system |
| CN112069732A (en) * | 2020-09-03 | 2020-12-11 | 中国人民解放军陆军工程大学 | Comprehensive evaluation method for artillery reliability identification test |
| CN112949073A (en) * | 2021-03-09 | 2021-06-11 | 国家电网有限公司 | Fuzzy algorithm-based intelligent substation relay protection reliability assessment method |
| CN113048837A (en) * | 2021-03-08 | 2021-06-29 | 中北大学 | Method for establishing gun firing-ignition fault tree in special environment |
| CN114282359A (en) * | 2021-12-14 | 2022-04-05 | 中国空间技术研究院 | Parameter evaluation method for representing satellite reliability maintainability guarantee comprehensive capacity |
| CN114707415A (en) * | 2022-04-12 | 2022-07-05 | 北京理工大学 | Design method of ESA (Enterprise service architecture) test system based on correlation model |
-
2022
- 2022-08-24 CN CN202211021919.XA patent/CN115371490A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020174384A1 (en) * | 2001-05-16 | 2002-11-21 | Graichen Catherine Mary | System, method and computer product for performing automated predictive reliability |
| US20040044499A1 (en) * | 2002-08-30 | 2004-03-04 | House Michael Brynn | Method and system for determining motor reliability |
| CN201377965Y (en) * | 2009-08-14 | 2010-01-06 | 中国航空综合技术研究所 | Condensation-preventing device in comprehensive reliability test system |
| CN203422017U (en) * | 2013-05-10 | 2014-02-05 | 中国人民解放军总装备部军械技术研究所 | Artillery integrated management system detector based on CAN bus |
| CN104121804A (en) * | 2014-07-23 | 2014-10-29 | 中北大学 | Self-loading system early failure predicting method based on multi-field information fusion |
| CN209263788U (en) * | 2018-12-14 | 2019-08-16 | 齐齐哈尔北方机器有限责任公司 | A kind of cannon assembly reliability experimental rig electrical system |
| CN112069732A (en) * | 2020-09-03 | 2020-12-11 | 中国人民解放军陆军工程大学 | Comprehensive evaluation method for artillery reliability identification test |
| CN113048837A (en) * | 2021-03-08 | 2021-06-29 | 中北大学 | Method for establishing gun firing-ignition fault tree in special environment |
| CN112949073A (en) * | 2021-03-09 | 2021-06-11 | 国家电网有限公司 | Fuzzy algorithm-based intelligent substation relay protection reliability assessment method |
| CN114282359A (en) * | 2021-12-14 | 2022-04-05 | 中国空间技术研究院 | Parameter evaluation method for representing satellite reliability maintainability guarantee comprehensive capacity |
| CN114707415A (en) * | 2022-04-12 | 2022-07-05 | 北京理工大学 | Design method of ESA (Enterprise service architecture) test system based on correlation model |
Non-Patent Citations (8)
| Title |
|---|
| 孙忠胜;赵继广;曹震;李小利;乔东来;: "火炮供输弹系统故障模式和影响分析研究", 机电产品开发与创新, no. 04, pages 8 - 10 * |
| 张振禹;雷玲;程俊;: "自动火炮武器火控系统可靠性分配方法", 兵工自动化, no. 06, pages 6 - 8 * |
| 张永锋;凌锋;罗亮;张磊;: "基于FTA-FMEA联合法的履带车辆综合传动装置故障分析", 农业装备与车辆工程, no. 12 * |
| 李新虎;: "串联系统综合因子可靠性分配法", 宝鸡文理学院学报(自然科学版), no. 01 * |
| 李旭;孟晨;王成;: "基于CAN总线的自行火炮测试和故障诊断方法", 装甲兵工程学院学报, no. 03 * |
| 杨杰;赵保伟;孙永森;雷发权;仇明方;: "基于云模型的供输弹系统故障模式危害性分析", 火炮发射与控制学报, no. 02 * |
| 汤志华;: "基于遗传算法的汽车零部件渐变可靠性演化分析", 环境技术, no. 03 * |
| 苌敬辉;刘爱军;董超颖;邱文静;高志祥;: "卫星通信中心站在资源池化架构下的系统可靠性分析", 通信技术, no. 02 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116644590A (en) * | 2023-05-31 | 2023-08-25 | 中国人民解放军国防科技大学 | Method, device, equipment and storage medium for predicting reliability of communication test equipment |
| CN116644590B (en) * | 2023-05-31 | 2024-03-19 | 中国人民解放军国防科技大学 | Method, device, equipment and storage medium for predicting reliability of communication test equipment |
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