CN111104535A

CN111104535A - Data management system and data management method

Info

Publication number: CN111104535A
Application number: CN201911143487.8A
Authority: CN
Inventors: 孙立峣; 闫国丰; 董谦; 薛玉峰; 任毅; 关博; 浦培平
Original assignee: FAW Group Corp
Current assignee: FAW Group Corp
Priority date: 2019-11-20
Filing date: 2019-11-20
Publication date: 2020-05-05
Anticipated expiration: 2039-11-20
Also published as: CN111104535B

Abstract

The embodiment of the invention discloses a data management system and a data management method. The data management system comprises a data acquisition module, an upper computer, a server and a monitoring module; one end of the image acquisition module is connected with the upper computer, the other end of the image acquisition module is connected with the server, the upper computer is connected with the test equipment through the switch, and the server is connected with the monitoring module; the data acquisition module is used for acquiring test data of a target object acquired by the test equipment fed back by the upper computer and storing the test data; the server is used for processing and analyzing the acquired test data and feeding back a processing and analyzing result to the server for storage; and the monitoring module is used for determining the accuracy of the test data and the running state of the test equipment according to the processing and analyzing result. The technical scheme of the embodiment of the invention realizes data management standardization, data visualization and test process flow.

Description

Data management system and data management method

Technical Field

The embodiment of the invention relates to the technical field of data management, in particular to a data management system and a data management method.

Background

At present, the test task is continuously expanded, the requirements of the test technology are also continuously improved, the corresponding test data structures are complex and various, the data volume is huge, the test data are dispersedly stored, the information islanding phenomenon is serious, the data cannot be traced, the real-time management and monitoring are difficult, and the standability, the safety, the integrity and the shareability are difficult to ensure; the test data has a plurality of formats and does not have a unified standard and a sharing platform for data analysis, storage and query; the utilization rate of equipment and instruments is low, the test equipment is self-formed, data is self-collected and self-used and is independently stored, in the data collection process, testers need to visit the test equipment to check test data in person, and the data collection condition is analyzed; after the test is finished, the collected data needs to be manually brought back to the database for analysis and processing, a unified central database is lacked, and data sharing in a large range is difficult to realize.

Disclosure of Invention

The embodiment of the invention provides a data management system and a data management method, which are used for realizing data management standardization, data visualization and test process flow.

In a first aspect, an embodiment of the present invention provides a data management system, where the data management system includes a data acquisition module, an upper computer, a server, and a monitoring module; one end of the image acquisition module is connected with the upper computer, the other end of the image acquisition module is connected with the server, the upper computer is connected with the test equipment through a switch, and the server is connected with the monitoring module;

the data acquisition module is used for acquiring test data of a target object acquired by the test equipment fed back by the upper computer and storing the test data;

the server is used for processing and analyzing the acquired test data and feeding back a processing and analyzing result to the server for storage;

and the monitoring module is used for determining the accuracy of the test data and the running state of the test equipment according to the processing and analyzing result.

Further, the data management system also comprises a data updating module;

and the data updating module is connected with the data acquisition module and is used for controlling the data acquisition module to update the test data or acquire the new test data when the test data is determined to be updated or new test data is generated.

Furthermore, the data acquisition module is also used for acquiring the test parameters of the test equipment and displaying or storing the test data according to the test parameters.

Further, the server is specifically configured to interpret the test data, determine a determination result of the target object, and display and store the determination result.

Further, the server is specifically further configured to perform reliability evaluation on the test data, and feed back the reliability evaluation result to the server.

Further, the server is further specifically configured to provide an algorithm container, and the algorithm container is configured to invoke, process and analyze the test data.

Further, the data management system also comprises an alarm module;

and the alarm module is connected with the monitoring module and is used for alarming when the processing and analyzing result corresponding to the running state of the test equipment exceeds a preset early warning value.

Further, the data management system also comprises a display module;

and the display module is connected with the server and is used for displaying the processing and analyzing result and the test site condition corresponding to the test equipment.

Further, the test data comprises battery data, motor data and public power data of the electric vehicles; the battery data of the electric vehicles comprise common temperature, voltage, current or humidity; the motor data of the electric vehicles comprise rotating speed and torque; the public power data comprise chilled water inlet and outlet pressure and temperature, compressed air outlet pressure, air conditioning unit pressure difference, temperature and humidity, high-voltage transformer tail end voltage, current and power or voltage and current parameters of a power distribution cabinet.

In a second aspect, an embodiment of the present invention further provides a data management method, where the data management method includes:

acquiring test data of a target object acquired by test equipment fed back by an upper computer through a data acquisition module, and storing the test data;

the server processes and analyzes the acquired test data and feeds back the processing and analyzing result to the server for storage;

and the monitoring module determines the accuracy of the test data and the running state of the test equipment according to the analysis result.

According to the technical scheme of the embodiment of the invention, the data management system comprises a data acquisition module, an upper computer, a server and a monitoring module; one end of the image acquisition module is connected with the upper computer, the other end of the image acquisition module is connected with the server, the upper computer is connected with the test equipment through a switch, and the server is connected with the monitoring module; the data acquisition module is used for acquiring test data of a target object acquired by the test equipment fed back by the upper computer and storing the test data; the server is used for processing and analyzing the acquired test data and feeding back a processing and analyzing result to the server for storage; and the monitoring module is used for determining the accuracy of the test data and the running state of the test equipment according to the analysis result. The problems that test data are scattered, centralized management is difficult, safety cannot be guaranteed, information processing and monitoring are weak, and a standard system cannot be formed in the prior art are solved, so that data management standardization, data visualization and test process flow are realized.

Drawings

Fig. 1 is a schematic structural diagram of a data management system according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of an exemplary CAN bus connection with multiple CAN networks according to an embodiment of the present invention;

FIG. 3 is a schematic flow chart of an exemplary automatic collection and update of test data provided by an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of a valve reliability function module provided in an embodiment of the present invention;

FIG. 5 is a flow diagram of a reliability calculation process provided by an embodiment of the present invention;

FIG. 6 is a schematic diagram of an interface for inputting a result of a reliability calculation according to an exemplary embodiment of the present invention;

FIG. 7 is a diagram of an exemplary custom algorithm invocation process provided by an embodiment of the present invention;

FIG. 8 is a schematic diagram of a network deployment diagram of a data management system provided by an embodiment of the invention;

FIG. 9 is a schematic diagram of exemplary support curves, tables, and histograms displaying critical parameter test data in real-time provided by embodiments of the present invention;

FIG. 10 is a schematic view of a monitoring module display of an exemplary total monitoring room provided by an embodiment of the present invention;

FIG. 11 is a flowchart of a data management method according to an embodiment of the present invention;

fig. 12 is a flowchart of a data management method according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention are described in further detail below with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention.

It should be further noted that, for the convenience of description, only some but not all of the relevant aspects of the present invention are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.

Fig. 1 is a schematic structural diagram of a data management system according to an embodiment of the present invention, where the embodiment is applicable to a case where test data, information related to a test, and a business process are managed in a unified manner, and the system may be implemented in a form of software and/or hardware.

The data management system 100 includes a data acquisition module 110, an upper computer 120, a server 130 and a monitoring module 160; one end of the data acquisition module 110 is connected with the upper computer 120, the other end of the data acquisition module is connected with the server 130, the upper computer 120 is connected with the test equipment 150 through the switch 140, and the server 130 is connected with the monitoring module 160;

the data acquisition module 110 is configured to acquire test data of the target object acquired by the test equipment 150 fed back by the upper computer 120, and store the test data;

the server 130 is configured to perform processing analysis according to the acquired test data, and feed back a processing analysis result to the server 130 for storage;

the monitoring module 160 is configured to determine the accuracy of the test data and the operating state of the testing device 150 according to the analysis result.

The number of the data acquisition modules 110 may be one or more, the specific number is set according to the test requirement, and optionally, the data acquisition modules 110 may be a double-net card machine (i.e., a collector).

The data acquisition modules 110 correspond to the upper computers 120 one by one, namely one data acquisition module 110 corresponds to one upper computer 120, all the data acquisition modules 110 and the upper computers 120 form a small local area network together, and the data acquisition modules 110 and a preset office network can realize the conversion process between the current small local area network and the preset office network.

The server 130 is located in the general control room of the test and is in communication with all the data acquisition modules 110 by means of a network environment.

The test data may include two types of data; one type is to obtain the data of the battery and the motor of the electric vehicle, and mainly comprises the parameters of common temperature, voltage, current, humidity, rotating speed, torque and the like; the second type refers to public power data, which mainly comprises parameters such as chilled water inlet and outlet pressure and temperature, compressed air outlet pressure, air conditioning unit pressure difference, temperature and humidity, high-voltage transformer terminal voltage, current and power or power distribution cabinet voltage and current.

The public power data has the following functions: monitoring the state of the equipment; as a troubleshooting reference item for test data abnormity; and (3) data management is strengthened, test information (power parameters, environment information, personnel information or resource information) is supplemented to the maximum extent, and a test is restored by data, so that test digitization and informatization are realized.

The test equipment 150 collects test data of the target object by the following four methods:

the first method comprises the following steps: through defining the API interfaces of the testing device 150 and the data acquisition module 110 in advance, and based on the network transmission data packet format protocol, the data acquisition module 110 calls the interfaces to receive data from the testing device 150 in real time, further analyzes and processes the data, remotely issues the acquired data, and can monitor and store the testing data in a warehouse.

The specific implementation method is that the following iView services can be executed from Excel, Matlab and Visual Basic, for example, so as to interact with the test system, the following iView runs on a default port of 80, and if the configuration runs on a port of 81 or other ports, a corresponding port needs to be added behind an IP address.

Illustratively, the channel and field names to be read from iView are:

a URL; http:// < LabCentral ServernaemoIP address >/QUERY _ READ? And name ═ channel name > & < fieldmame > -% VIRTUAL 20STRING ";

writing channel and field names from iView are respectively:

a URL; http:// < LabCentral Server name or IP address >/QUERY _ WRITE? And name ═ channelname > & field1 ═ VIRTUAL% 20STRING & value1 ═ ABC 1234 ";

the procedure performed from iView is: a URL; http:// < LabCentral Server name or IPAddress >/QUERY _ MESSAGE? \\ \ query message >.

And the second method comprises the following steps: the test equipment 150 and the data acquisition module 110 have simultaneous access to multiple independent CAN networks.

The CAN (controller area network) is a serial data communication protocol based on a multi-master bus topology structure, the test equipment 150 CAN exchange data with a control unit (ECU or TCU, etc.) and other CAN equipment respectively in real time, and the transmission reliability is high. The test rig 150 includes a powerful CAN interface that includes a real-time driver that CAN be connected in parallel to up to 8 independent networks. One CAN bus CAN integrate different kinds of devices.

COB (communication object) means that parameters are transmitted in a CAN network, which has up to 2048 different kinds of COBs, and one COB contains parameters of up to 8 out-bytes.

The CAO interface requires a pressure sensor in the gantry system for connecting the test equipment 150, can automatically configure the network, cycle and event-triggered parameter transmission, and can synchronously read or set input, output and parameters. The rack system of each test device 150 has at most 8 CAO networks, and each CAO network CAN be connected with at most 50 devices, so that compatible communication among different devices is ensured, and time-saving parameterization is realized through a CAN interface automatically mapped.

Fig. 2 is a schematic structural diagram of an exemplary CAN bus connection with multiple CAN networks according to an embodiment of the present invention. Referring to fig. 2, designated as CAN-PCI plug-in card 1, designated as pressure sensor 2, and designated as termination resistor according to the CAN standard 3, the termination resistor of the CAN card integrated into PUMA Open CAN be parameterized instead of being activated using an additional terminal.

The specific implementation mode is as follows: first, the mounting position pressure sensor is arranged. Connecting a pressure sensor, automatically starting to search for a new pressure sensor, automatically detecting by the pressure sensor, and reading and displaying parameters; configuring the pressure sensor parameterization, configuring the pressure sensor by selecting its location, each location having to be used for each CANopen line; it is determined that the position information has been transmitted to the pressure sensor. Second, the pressure sensor in the PUAM is parameterized. Opening a CAO parameter module in the parameter group, and inputting general parameters such as bit speed or hardware connection and the like in a parameter window; clicking the pressure sensor parameter group, designating a standard name, associating the sequence of the pressure sensors with the node numbers of the pressure sensors, and setting frequency conversion; saving the changed parameters, and starting the state operation until the system reaches a monitoring mode; and outputting a result by the message, and displaying the pressure value in the browser.

And the third is that: the upper computer 120 calls an interface designated in dll according to the specified logic, the upper computer transmits data, parameter configuration and necessary information into the dynamic link library in real time, and the data can be stored in a universal format inside the dynamic link library. The remote computer can remotely read the file to implement the transmission monitoring function of the real-time data.

The embodied method is that all test systems are multi-channel, computerized, and capable of fully automated testing, allowing for fully automated, unattended operation.

The user dll function allows the user to implement any method of calculating the set point and end condition by calling a function in a dynamically linked library created by the user in any programming language. These functions are invoked 10 times per second, depending on the size of the system and the overall performance of the tester computer, and can be used to set the set point current, voltage, power, and resistance, and cause the step to terminate. The DLL interface has the following functions.

onload: when the test is started and dll is loaded, calling the function once;

the OnStepStart function is called once when the dll step is started;

OnStepend this function is called once at the end of dll step;

OnSuspend this function is called once when the dll step is suspended;

OnResume this function is called once when the dll step is resumed;

the OnUnload function is called once when the test is finished and dll is unloaded;

GetSetpoint this function is called 10 times per second, with most of the current readings as parameters and the returned value used as a setpoint, and a flag can be set to terminate the procedure.

And fourthly: for storing data files in real time and allowing other processes to share reads while storing. The test data of the target object collected by the test equipment 150 is switched and collected in a shared file mode, data collection software in the test equipment 150 monitors a shared file directory in real time, when new data are generated, the data files are read to obtain the data, the data collection software remotely releases the obtained data, and user data are monitored and stored in a storage.

On the basis of the above embodiments, the data management system further includes a data update module;

Specifically, data acquired by a part of test equipment matching data acquisition modules are stored as standard ACCESS database files, link ACCESS is allowed in an ADO mode when the data are stored in real time, data acquisition software calls an ADO to provide an application program interface to read ACCESS database file data, the acquired data are released remotely, and user data are monitored and stored in a warehouse.

The test equipment is matched with a data acquisition module to automatically capture the data files in the data storage directory to realize data collection and storage.

Illustratively, fig. 3 is a schematic flow chart of exemplary automatic acquisition and update of experimental data provided by an embodiment of the present invention. Referring to fig. 3, by defining the original data storage path, naming rule, etc. of the test system, the test data file is directly located from the measurement and control software, and the data content is analyzed and imported into the external field test data collection tool, so as to realize the rapid collection and storage of the data file generated by the existing test equipment. The data collection work after the test is simplified, the test equipment provides a data collection tool which can automatically collect test data under the specified directory, and the functions of test data file positioning, test data automatic collection, test data storage and storage are realized. The user can designate a data collection directory and a data backup directory, data on other computers in the network can be collected by mapping a disk, whether a data file in the data storage directory exists or whether a new data file is generated is monitored through an instant monitoring program of the data updating module, and if the data file exists or the new data file is generated, the data updating module automatically captures the data file under the data storage directory to realize data storage. Corresponding test data are collected through a sensor or related equipment, the data file is stored to a fixed path, the data file is found in a specified path, and data content is read and stored in a database.

The specific implementation method comprises the following steps: and (4) reading test data, wherein the test data is read by the designation of a test data file storage path. For the test with long test time and large data volume, the test data automatic reading period can be set according to the test data acquisition interval of a user (in a file storage mode, the data acquisition interval is 30 minutes, namely, the test equipment stores the acquired test data into a complete data file in 30 minutes), and the system automatically reads the formed data file according to the setting of the test data file storage path of the user and the setting of the data reading period. And (3) automatically analyzing and uploading the data, analyzing the read test data through a pre-customized data analysis template, and uploading the analyzed test data to a system.

On the basis of the above embodiments, the data acquisition module is further configured to acquire test parameters of the test equipment, and display or store the test data according to the test parameters.

Before experimental data collection, the experimental device 150 sets an IP address or a port number of the test device by adding the test device to the experimental device 150, thereby establishing a connection with the experimental device 150. The second step is to configure the data protocol. In order to facilitate the collection of sonar original binary data generated by the client analyzing test equipment, a test data packet multicast or broadcast by a test system in the analyzing test equipment through a network needs to be configured according to the characteristics of a data protocol, so that the purposes of data display, storage and the like are achieved. The third step is to acquire parameter (channel) configuration. The method comprises the steps of configuring parameters according to test parameters actually acquired by current connection test equipment, wherein the parameters comprise channel setting, acquisition setting, trigger setting or storage setting, multiplexing can be set, and self-defined test parameters such as recording duration, recording trigger conditions, channel names or engineering value conversion can be set.

The server processes and analyzes the test data in real time, and comprises intelligent interpretation, threshold reliability calculation and self-defined algorithm access of the test data. The intelligent interpretation of the test data is that the key performance of the battery assembly can be interpreted according to the enveloping interval of the parameters of the test of the past, a performance data analysis report is automatically generated, and a test state evaluation report is quickly formed; threshold reliability calculation is to evaluate the reliability of the test failure data, so as to reduce the number of test samples.

On the basis of the foregoing embodiments, the server is specifically configured to interpret the test data, determine a determination result of the target object, and display and store the determination result

After the test is finished, the key performance of the battery assembly can be interpreted according to the envelope interval of the parameters of the test of the previous time, a performance data analysis report is automatically generated, a test state evaluation report is quickly formed, the data is quickly put into a warehouse, filed in time and deeply mined integrally, and the online multi-person interpretation and multiple interpretation result comparison are realized. Therefore, the working intensity of personnel is reduced, the artificial misjudgment is avoided, and the data interpretation and analysis efficiency in the detection process is improved.

The interpretation refers to analyzing the test data file to obtain analysis result data, and analyzing and judging to obtain interpretation data. And reading the parameter test value from the analyzed data by using a specified interpretation algorithm, and comparing the standard value and the upper limit and the lower limit in the given data interpretation basis table to obtain the conclusion whether the parameter test value is out of tolerance.

Two common interpretation modes are provided, one is real-time interpretation, and data interpretation, analysis and storage are carried out in real time through the detection and test processes; and establishing an interpretation template according to the standard criterion table, the interpretation algorithm and the test parameters, carrying out real-time acquisition, real-time interpretation and interpretation display, and uploading to a database after the real-time interpretation and interpretation display are finished. The other is automatic interpretation, controls the inspection of the data put in storage, and carries out interpretation such as out-of-tolerance and compatibility on the data put in storage.

The criterion has a self-defining function, and the criterion self-defining mode is divided into two modes: one is created in a system page, and the other is to import a standard Excel format file into a system batch generation criterion and store a plurality of sets of criteria.

The interpretation built-in common algorithm comprises extreme value judgment, interval value judgment, positive and negative value judgment, trend analysis and the like, and specifically comprises the following steps: 1. calculating and interpreting the maximum deviation of the parameter along with the time change; 2. judging the change curve of the parameters at a specific point; 3. calculating and interpreting the maximum deviation of the parameters which do not change along with time; 4. a curve jump interpretation algorithm; 5. the output of the switches such as the integrated control and the like is automatically interpreted; 6. interpreting state quantity parameters; 7. calculating the maximum deviation; 8. redundant parameter consistency discrimination algorithm; 9. maximum, minimum statistics; 10. and (5) a time sequence interpretation algorithm.

The interpretation parameter is a synchronous measurement parameter type, a measurement parameter or a system type from a data dictionary.

On the basis of the above embodiments, the server is specifically further configured to perform reliability evaluation on the test data, and feed back the reliability evaluation result to the data acquisition module.

Specifically, reliability evaluation is achieved through valve reliability calculation. Reliability evaluation is performed on the basis of test failure data by using a statistical method, so that the reliability evaluation precision of the valve can be improved, and the number of test samples can be reduced.

Fig. 4 is a schematic structural diagram of a valve reliability function module according to an embodiment of the present invention. Referring to fig. 4, the functional module of valve reliability mainly includes (1) valve component basic information and fault information entry (2) valve component basic information and fault information query (3) valve reliability index calculation (4) valve reliability index curve display (5) valve reliability calculation parameter setting (6) and valve reliability result output.

Valve failure data with randomness is collected, sorted and analyzed to realize inference and prediction on valve reliability, and a basis and suggestion are provided for taking certain decisions and actions. And calculating the reliability according to the test values recorded in the basic data, wherein the calculation content comprises the following steps: reliability calculation (reliability values for a particular valve can be displayed, and the following six sets of calculated values): single-side confidence upper and lower limits, double-side confidence upper and lower limits, parameter lambda estimation, reliability life time (h), reliability probability value and distribution density function; valve reliability index curve display: failure rate distribution curve, average life distribution curve; valve reliability calculation parameters and system setting: determining a distribution function, setting a confidence interval, setting display parameters and setting curve distribution; outputting a valve reliability result: and outputting the fault information EXCEL and the report word.

Illustratively, fig. 5 is a flowchart of a reliability calculation process according to an embodiment of the present invention. Referring to fig. 5, the reliability calculation function is realized by adopting a mode of HTML + JS + background processing program (Ajax), where HTML is a page tool for inputting calculation conditions and outputting and displaying calculation results, JS is responsible for validity verification of page input contents and simple data calculation, and the background processing program is responsible for calculation of a reliability algorithm and data information storage in a calculation process.

The reliability calculation algorithm mainly adopts two probability distribution modes, namely binomial distribution (Bernoulli distribution) and exponential distribution (Weibull distribution), and respectively corresponds to the reliability calculation of the low-temperature starting valve and the gas reducing valve.

Binomial distribution (bernoulli distribution) reliability calculation process:

firstly, determining the failure probability of the low-temperature pneumatic valve in the same batch test;

if the event of normal opening and closing of the low-temperature pneumatic valve is a and the event of abnormal opening and closing of the low-temperature pneumatic valve is B, the event distribution of the occurrence probability is p (a) ═ p, and p (B) ═ q ═ 1-p. In the n independent repeated experiments, the probability that the event A happens K times is as follows:

P_n(k)＝C_n ^kp^kq^n-k(k＝0,1,2,..n)

wherein, C_n ^kFor k combinations of n sets of data.

The above formula is just binomial (p + q)ⁿThe low k +1 term of the expansion is called the binomial probability distribution.

Secondly, determining the number of test valves in the same batch;

it is necessary to determine the failure probability of the same test valve number n, and if X is used to indicate the number of times the valve normally occurs in n repeated tests, X is a random variable, and the value of X may be 0,1,2 …. n, then the distribution probability of the random variable X is:

P(X＝k)＝C_n ^kp^kq^n-k(k＝0,1,2,..n)

finally, calculating the reliability and the failure rate;

the cumulative distribution function with the random variable X not greater than k times is:

F(k)＝P(X<k)＝∑C_n ^kp^kq^n-k

the mathematical expectation for the random variable X is:

E(X)＝∑kP(X＝k)＝np

the variances of the random variable X are:

D(X)＝∑[k-E(X)]²P(X＝k)＝npq

specifically, aiming at the requirements, several input condition parameters are respectively: the method comprises the following steps of sample number, test times, fault number, confidence, single-side confidence interval, double-side confidence interval lower limit, double-side confidence interval upper limit and fault times. After receiving the input parameters, the computing interface in the background processing program calculates according to the formula, then stores the input information and output result of the computing process into the reliability computing result table, and then returns the computing result to the client foreground HTML for displaying.

The reliability calculation process of exponential distribution (Weibull distribution) is as follows:

if the distribution function of the product life X is:

f(t)＝λe^-λt(λ＞0,t≥0)

the distribution function is:

F(t)＝1-e^-λt(t≥0)

x obeys an exponential distribution with a parameter λ.

The reliability of the exponential distribution is characterized in that:

reliability function: r (t) ═ e^-λt

Failure rate function: λ (t) ═ f (t) (/ r (t) () λ

Average life: e (x) ═ 1/lambda

Life variance: sigma²＝D(x)＝1/λ²

Reliability life:

specifically, aiming at the requirements, several input condition parameters are respectively: the number of samples, the test times, the number of fault stations, the reliability, the total test work time, the effective work time,

And the number of failures. After receiving the input parameters, the computing interface in the background processing program calculates according to the above formula, then stores the input information and output result of the computing process into the reliability computing result table, and then returns the computing result to the client foreground HTML for displaying.

Since C is involved in both of the above reliability calculations_n ^kSo that two common functions are written for two reliability calculation interfaces to call, respectively calculation C_n ^kValue combination () interface and nfactual () for calculating an n-factorial value, and fig. 6 is a schematic diagram of an interface for inputting a calculation result in an exemplary reliability calculation according to an embodiment of the present invention.

On the basis of the above embodiments, the server is further specifically configured to provide an algorithm container, and the algorithm container is configured to invoke, process and analyze the test data.

Specifically, the server provides an algorithm container, and supports the management and calling operation of the user self-research algorithm. And accessing a self-research algorithm or a third-party algorithm written by users matlab, Vc and labview through an algorithm container management module, packaging the self-research algorithm or the third-party algorithm into a COM component dynamic library (. DLL) file form, and calling and performing data calculation by a server to generate a result.

FIG. 7 is a diagram of an exemplary custom algorithm invocation process provided by an embodiment of the present invention. Referring to fig. 7, the user-defined algorithm access refers to accessing a user self-research algorithm or a third-party algorithm into a server for calculation. The server provides an algorithm calling framework, provides source data and obtains result data, and the calculation in the core is completed in a self-defined algorithm module. The access of the self-defined algorithm module expands the processing capacity, embodies the openness of the data management system, can compile the developed algorithm or a third-party algorithm into a × according to the rules of the system, inserts dll (dynamic library) into the analysis processing platform to complete corresponding analysis processing, effectively manages by freely expanding the algorithm and utilizing the existing algorithm, increases the confidentiality of the algorithm and embodies the openness of the system.

For some algorithms with stronger speciality or secret-related problems, the algorithm can be written by a user, and then the algorithm is accessed into a system for calculation, in the process, the user does not need to be concerned about how to obtain the data and how to store the result, and the data management is carried out by a server. Optionally, the custom algorithm may be written using Matlab, Vc + +, VB, labview.

In the user-defined algorithm access, two key places exist, firstly, the name and the parameters of the algorithm function of the user are dynamically changed, the system does not know, but the algorithm can be called; another is how to pass data to the algorithm and obtain the resulting data.

The first problem is solved by using the COM specification of microsoft, wherein a dll dynamic link library written according to the COM specification of microsoft contains 1 or more coclasss, each CoClass also has a plurality of interfaces, and each Interface has a plurality of methods (functions). Because each Interface is an IDisptach automation Interface at the same time, the Interface has a general method call function: invoke () uses the function and passes in the method index, the specified method may be called. There are several parameters in each method and these types of information can be obtained. However, only by the algorithm module, we can obtain the type and name of these information parameters, and the user configures the function and usage of the parameters, such as input or output, curve or parameter, etc. Knowing the configuration of the parameters, data can be passed to the algorithm as per convention.

The data after the final processing is test data, and is monitored while being stored.

According to the technical scheme provided by the embodiment of the invention, the server surprisingly processes and analyzes the test data by adopting a webpage embedding technology-the combination of B/S and C/S, the client and the Web page are tightly combined together, the online loading and data analysis processing operation of the test data is realized, the local data and the server data loading are supported, and the rapid processing of the ultra-large data (the single file exceeds 2GB) is supported.

Further, fig. 8 is a schematic diagram of a network deployment diagram of the data management system according to the embodiment of the present invention. Referring to fig. 8, the monitoring module 160 establishes a mapping relationship between the IP of the camera and the testing device, monitors the video image of the testing area in real time at the monitoring large screen of the monitoring module of the main control room and the monitoring terminal through the network connecting the testing area and the main control room, provides a configuration picture during the test, visually displays information such as testing environment parameters, pressure, flow or temperature through a table and a curve, and displays the alarming testing parameters in a list manner. In addition, the running condition of the test state can be checked and monitored through mobile terminals such as a mobile phone and a Pad.

The advantage of setting like this is that the loading of the data is deposited and is extracted from the test database directly, can process without downloading the local; for very large scale data, it can be rapidly displayed within a few seconds by segmentation and minification. The analysis processing is seamlessly connected with the system platform and the database, so that smoothness and high efficiency are ensured, and data redundancy is avoided; the method overcomes the fatal defect that the existing data processing is difficult to deal with the oversized data, and breaks through the limitation of time and channel data acquired by the test.

The safety early warning video of the monitoring module is tracked and displayed, the threshold value of the corresponding data channel is set at the client, and the early warning value and the warning value of each channel are set at the client for the collected original data (collecting channel) and the data (virtual channel) calculated in real time; when the monitoring data exceeds the preset limit value, the system automatically starts an audible and visual alarm in the monitoring room, sends short messages and mail notifications to preset personnel in the system, and simultaneously highlights camera image information corresponding to the alarm area on the monitoring screen.

FIG. 9 is a schematic diagram of exemplary support curves, tables, and histograms displaying critical parameter test data in real-time provided by embodiments of the present invention. Referring to fig. 9, visual graphics are adopted to monitor data collected by each channel in real time, an alarm can be given in time according to a preset data standard, various graphic controls can be provided according to user requirements, and 10 types of 18 data monitoring controls such as tables, curves, histograms, radar charts, numbers, labels, timing and alarm lamps are supported. Meanwhile, configuration display of various graphic controls is realized through combined configuration, data information of each device in the test process is monitored comprehensively, test quality is improved, and troubleshooting efficiency of the test is improved.

When the curve control and the digital control are adopted to display data in real time, a plurality of variables (not less than 10 variables) can be selected to be displayed simultaneously, and the display refresh period of the data can be set, such as: the display refresh frequency is fixed to 1s or not more than 10 times the sampling period.

For data with a large sampling rate, a real-time curve display scale adjusting function provided by the system can be selected according to the percentage of the original points, and a corresponding curve is output. The system can add historical data to the channel through the incidence relation of the background database, and can select the loaded historical data as the background to perform curve analysis when displaying the curve in real time

In the test process, different data types or different test parameters (such as flow, pressure and other test parameters) generated under test equipment can be remotely issued through a network by adopting a data transmission middleware, after the data is issued in a local area network, other authorized users can remotely monitor the data of the concerned channel in real time and display the data by using a configuration control, so that the users who are not in the test field can monitor the concerned data in real time, the test data is fully utilized, the test efficiency is improved, and the time difference in the test process is reduced.

The monitoring module is divided into three monitoring areas, namely an equipment monitoring area, a data signal monitoring area and a fault alarm area. The equipment monitoring area is used for monitoring a motor laboratory, a battery PACK and monomer/module laboratory and a whole vehicle benchmarking laboratory; the data signal monitoring area is used for monitoring public power signals and test equipment parameter signals; the fault alarm area is used for tracking the running state of the equipment in real time.

On the basis of the above embodiments, the data management system further includes an alarm module; and the alarm module is connected with the monitoring module and is used for alarming when the processing and analyzing result corresponding to the running state of the test equipment exceeds a preset early warning value.

Referring to fig. 8, it is to be noted that the alarm is directed to the monitoring area. The office area is only used for data centralized management, such as walking a task flow, compiling a test outline and a test report, compiling the test outline before data acquisition, and compiling the test report after data processing.

On the basis of the above embodiments, the data management system further includes a display module; and the display module is connected with the server and is used for displaying the processing and analyzing result and the test site condition corresponding to the test equipment.

The display types of the display module are high definition (ball machine) 1080P and common (hemisphere and gun type) 720P. The display function is real-time display, quick retrieval, selection of any monitoring point for putting, and automatic switching of patrol setting scene customization time; the screen division display mode is 2 × 2 to display in round-robin and fixed-point patrol.

FIG. 10 is a schematic view of a monitoring module display of an exemplary total monitoring room provided by an embodiment of the present invention. Referring to fig. 10, the left image shows data representation on the three-dimensional model of the test, including the display of liquid oxygen, kerosene, liquid level in the liquid nitrogen tank and parameters; the flow effect (continuous arrows) of the fluid in the pipeline, the temperature effect (different colors) and the flow rate effect (thick and thin arrows); formulating the dynamic effect (on-off change) of the valve; part of the scene details (e.g. smoking, ignition).

The state condition of a test site is displayed on a main interface of the LED large screen in real time in the right picture, a data monitoring graphical interface can be customized conveniently, the functions of analog display (digital, curve and three-dimensional model), configuration page display, multi-page display, alarm and data playback of various instruments are supported, and the comprehensive analysis of test data by testers and other departments is facilitated. The system provides amplification display of a three-dimensional model of a product (engine), and when a measuring point on the three-dimensional model is abnormal (exceeds a preset threshold), the measuring point can be reminded of the abnormality in a color changing or flickering mode. During the test, the system provides a configuration picture, visually displays information such as test environment parameters, pressure, flow, temperature and the like through a table and a curve, and displays the alarm test parameters in a list mode.

In addition, it should be noted that the monitoring module can also be used for remote monitoring in different places, the remote real-time monitoring in the office area is also based on IP network video monitoring technology and equipment, and by connecting the network of the test area and the network of the office area, the large monitoring screen of the real-time monitoring system in the office area and the monitoring terminal monitor the video image of the test area in real time, so as to realize synchronous bidirectional real-time video and voice communication between the test area and the office area, and ensure that the working personnel in the office area can acquire the status information of video, audio and the like of the test area at any time to know the field dynamics.

Potential risks of the test system and the test components are excavated, and trend analysis is provided: and establishing a model test parameter reliability enveloping interval according to the test historical data, establishing reliability analysis evaluation, and performing test run data density analysis. The test data is totally divided into normal data samples and same data samples, abnormal data of the test is counted, and the expression form of the abnormal data is summarized as follows: impact, dead number (constant numerical value), drifting, interference and large deviation exist in the data, test data denoising is carried out, and reliability analysis evaluation is established. Data denoising, characteristic value extraction, pivot analysis data detection and reconstruction of the test data processing system.

It should be noted that the data formats generated by the test equipment are diversified, the data files include 8 formats such as an ASAM ODS, csv, a TDMS format (binary, NI), a dat format, an Access database format (binary, res file), a self-owned format, an ascII, an mdb format and the like, the data files in the 8 formats are analyzed and processed in a configuration and customized development mode, the data are uploaded to the system, and the integrity and the correctness of the data are automatically verified in the uploading system. Test data are obtained through data acquisition or reading of a device database, a disk file and the like. And secondly, the data updating time takes the test data with the acquisition conversion and reading conditions as the starting time, and takes the display time in the monitoring room as the ending time through data processing and transmission. Monitoring data update time requirement: less than or equal to 5 s.

According to the technical scheme provided by the embodiment of the invention, a local area network is formed by a plurality of sets of equipment in a laboratory, and automatic real-time data acquisition and remote real-time data monitoring are carried out; the integrity and correctness of the data are automatically verified. Data analysis and processing and automatic generation of test reports; supporting remote monitoring of the mobile terminal; and (4) accessing a custom algorithm. And supporting the display of public power data on the target machine. The system automatically starts an audible and visual alarm in the monitoring room, and automatically reminds equipment faults, safety early warning short messages, safety early warning video tracking display and mails. The network can be connected with a local area network or a group network. The collected data of various heterogeneous products are subjected to format conversion through a data analysis template, and are converted into a unified data storage format, so that the unification of the test data format is realized. And integrating data interfaces and carrying out centralized data management. And (4) automatically interpreting algorithm data. All test systems are multi-channel, computerized, and capable of fully automated testing, allowing for fully automated, unattended operation. The data real-time switching automatic acquisition realizes the technical means. The webpage embedding technology-the combination of B/S and C/S is adopted to support the loading of local data and server data; fast processing of very large data (single file exceeding 2GB) is supported. And checking and monitoring the running condition of the test state through mobile terminals such as a mobile phone and a Pad. And realizing remote real-time monitoring.

Fig. 11 is a flowchart of a data management method according to an embodiment of the present invention. The embodiment can be suitable for the condition of uniformly managing the test data, the information related to the test and the business process, and the method can be executed by the data management system to realize the corresponding functions and the beneficial effects of the data management system.

Correspondingly, the method of the embodiment specifically includes:

s110, acquiring test data of a target object by test equipment fed back by an upper computer through a data acquisition module, and storing the test data.

The test equipment acquires test data of a target object by four data acquisition methods, and the acquisition configuration is connected with the data acquisition module through the test equipment and has the functions of automatic data acquisition and data updating.

And S120, the server processes and analyzes the acquired test data, and feeds back the processing and analyzing result to the server for storage.

The real-time processing and analysis of test data are divided into three steps: intelligent interpretation of test data: the key performance of the battery assembly can be interpreted according to the envelope interval of the parameters of the test of the previous time, a performance data analysis report is automatically generated, and a test state evaluation report is quickly formed; threshold reliability calculation: reliability evaluation is carried out on the basis of test failure data, and the number of test samples is reduced; accessing a custom algorithm: the self-research algorithm can be accessed into a specified system for calculation, and strong extension and openness are increased due to the access of the algorithm module.

S130, the monitoring module determines the accuracy of the test data and the running state of the test equipment according to the analysis result.

And checking and monitoring the running condition of the test state through mobile terminals such as a mobile phone and a Pad to realize remote real-time monitoring.

Fig. 12 is a flowchart of a data management method according to an embodiment of the present invention. The preferred embodiments are provided on the basis of the above-described embodiments. The specific method comprises the following steps:

the test data acquisition equipment comprises test equipment and public power equipment, then the test equipment and the public power equipment are subjected to data acquisition configuration, and the test equipment and the public power equipment can automatically acquire data and automatically process and analyze the data after the configuration is completed.

And analyzing and storing the data. And analyzing and converting test data generated by the acquisition equipment during or after the operation test of the test equipment, storing the test data into a server database, and verifying the integrity and correctness of the data in the data transmission and storage process.

After the data are analyzed and stored in a warehouse, data monitoring parameter data can be obtained to further determine the equipment state, test data can be continuously transmitted at break points, and the equipment state is further determined through remote monitoring of a mobile terminal. If the monitoring is carried out remotely at the mobile terminal, the monitoring parameter state can be directly displayed.

The acquired data monitoring parameter data can be the rotating speed and torque of motor equipment, or the current voltage and temperature of battery equipment, or public power data by presetting a monitoring parameter limit value.

The test data breakpoint continuous transmission refers to that the system can automatically protect the data breakpoint when power failure or network blocking failure occurs in the process of collecting and storing the test data, and the data can be continuously uploaded after power restoration or network failure elimination.

And (4) judging the state of the equipment, wherein the state can be directly displayed when the monitoring parameter state is absent, and the state is operated and displayed when the monitoring parameter state is present.

And when the monitoring parameter state exists, judging the parameter limit value, when the monitoring parameter state does not exceed the limit value, restarting the monitoring parameter judgment, and when the monitoring parameter state exceeds the limit value, starting an audible and visual alarm, or notifying related technicians by a short message mail, or highlighting the area by a camera image.

The technical scheme provided by the embodiment of the invention provides an automatic acquisition function, and can automatically collect test data under a specified directory. The user may specify a data collection catalog as well as a data backup catalog. Data on other computers in the network can be collected by mapping the disk side. Monitoring whether the data files in the data storage directory exist or whether new data files are generated through an instant monitoring program of the data acquisition system, if the data files exist or new data files are generated, automatically capturing the data files under the data storage directory by the data acquisition system, and realizing analysis and storage: the remote monitoring function is provided, and the requirement of the updating time of the monitoring data is as follows: less than or equal to 5 s. The power utilization and power generation conditions and the service efficiency of the test equipment can be automatically counted, and a report is automatically generated every month. The system should automatically generate one user equipment degradation analysis report every half year (or one year): the model can be self-built or can be calculated according to the actual running time of the equipment/the total service life under the average load of the equipment; the network construction technology is promoted: the system can be connected with a local area network and an office network; realizing remote real-time monitoring; and (3) automatically generating a test report: the content of a test report is defined, the content comprises basic information of a test run test, relevant parameters of a test run outline, requirements and other information, the output of parameter graph envelope curves and performance comparison analysis graphs of different batches is supported, an average quantity table is automatically filled according to test data information, and the test template data correspondence self-checking function is achieved in the test report output process.

It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A data management system is characterized by comprising a data acquisition module, an upper computer, a server and a monitoring module; one end of the data acquisition module is connected with the upper computer, the other end of the data acquisition module is connected with the server, the upper computer is connected with the test equipment through a switch, and the server is connected with the monitoring module;

2. The data management system of claim 1, further comprising a data update module;

3. The data management system of claim 1, wherein the data acquisition module is further configured to obtain test parameters of the test equipment, and to display or store the test data according to the test parameters.

4. The data management system of claim 1, wherein the server is specifically configured to interpret the test data and determine a determination result of the target object, and to display and store the determination result.

5. The data management system of claim 1, wherein the server is further configured to perform reliability evaluation on the test data, and feed back the reliability evaluation result to the server.

6. The data management system of claim 1, wherein the server is further configured to provide an algorithm container, and wherein the algorithm container is configured to invoke and process the analysis of the test data.

7. The data management system of claim 1, further comprising an alarm module;

8. The data management system of claim 1, further comprising a display module;

9. The data management system of claim 1, wherein the test data includes battery data, motor data, and utility data for the electric vehicle class; the battery data of the electric vehicles comprise common temperature, voltage, current or humidity; the motor data of the electric vehicles comprise rotating speed and torque; the public power data comprise chilled water inlet and outlet pressure and temperature, compressed air outlet pressure, air conditioning unit pressure difference, temperature and humidity, high-voltage transformer tail end voltage, current and power or voltage and current parameters of a power distribution cabinet.

10. A method for managing data, comprising: