CN110231789B - Performance monitoring method of tool equipment and storage device of tool equipment - Google Patents
Performance monitoring method of tool equipment and storage device of tool equipment Download PDFInfo
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- CN110231789B CN110231789B CN201910458120.9A CN201910458120A CN110231789B CN 110231789 B CN110231789 B CN 110231789B CN 201910458120 A CN201910458120 A CN 201910458120A CN 110231789 B CN110231789 B CN 110231789B
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
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Abstract
The application discloses a performance monitoring method of tooling equipment, which comprises the following steps: when the tooling equipment is placed in a storage device, the storage device collects the state parameters of the tooling equipment; the storage device calculates a performance characteristic value of the tooling equipment according to the state parameter of the tooling equipment; and the storage device calculates and displays the availability of the tooling equipment for the target debugging service according to the performance characteristic value of the tooling equipment and the performance requirement condition of the target debugging service on the tooling equipment. Therefore, the storage device is used for monitoring the performance of the tooling equipment and displaying the performance to technicians, so that the technicians can take out the performance from the storage device to meet the requirements of a motor train unit debugging site, and the motor train unit can be debugged to achieve a better effect. In addition, this application still discloses a storage device of frock equipment.
Description
Technical Field
The present disclosure relates to the field of tooling equipment technologies, and in particular, to a method for monitoring performance of tooling equipment and a storage device of the tooling equipment.
Background
The shop equipment is usually kept in storage while it is in standby so that it can be removed from storage when it is needed. However, when the tooling equipment needs to be taken out of the storage equipment for use, technicians often have difficulty in simply knowing which performance states of the tooling equipment in the storage equipment meet the requirements of a motor train unit debugging site, so that the performance of the tooling equipment taken out by the technicians may not be suitable for the motor train unit debugging site, and the debugging of the motor train unit cannot achieve a good effect.
Disclosure of Invention
The embodiment of the application provides a performance monitoring method of tooling equipment and a storage device of the tooling equipment, so that the performance of the tooling equipment in the tooling equipment is monitored through the storage device and displayed to technicians, the technicians can take out the performance from the storage device to meet the requirements of a motor train unit debugging field, and the debugging of the motor train unit can achieve a better effect.
In a first aspect, an embodiment of the present application provides a performance monitoring method for tooling equipment, including:
when the tooling equipment is placed in a storage device, the storage device collects the state parameters of the tooling equipment;
the storage device calculates a performance characteristic value of the tooling equipment according to the state parameter of the tooling equipment;
and the storage device calculates and displays the availability of the tooling equipment for the target debugging service according to the performance characteristic value of the tooling equipment and the performance requirement condition of the target debugging service on the tooling equipment.
Optionally, the performance characteristic value includes a load redundancy value of the tooling equipment, the state parameter includes an available load total amount of the tooling equipment and a used load amount of the tooling equipment, and the load redundancy value is calculated according to the available load total amount and the used load amount.
Optionally, the total available load includes a central processing unit utilization rate and/or a memory utilization rate of the tooling equipment, and the used load includes a central processing unit frequency and/or a total memory of the tooling equipment.
Optionally, the load redundancy value is further calculated according to the load capacity update time.
Optionally, the performance characteristic value includes a battery attenuation degree of the tooling equipment, the state parameter includes a battery parameter of the tooling equipment, and the battery attenuation degree is calculated according to the battery parameter;
the battery parameters comprise any one or more of battery capacity, charging current, charging voltage, charging times and charging history.
Optionally, the performance characteristic value includes input/output storage performance of the tooling equipment.
Optionally, the performance characteristic value includes a user equipment testing capability of the tooling equipment, where the user equipment testing capability is used to characterize the capability of the tooling equipment to process multitasks and virtual machines.
Optionally, the method further includes:
and if the performance characteristic value does not meet the minimum performance condition of the tooling equipment, the storage device carries out fault early warning on the tooling equipment.
In a second aspect, an embodiment of the present application provides a storage device for tooling equipment, including:
the acquisition unit is used for acquiring the state parameters of the tooling equipment when the tooling equipment is placed in the storage device;
the first calculation unit is used for calculating a performance characteristic value of the tooling equipment according to the state parameter of the tooling equipment;
and the second calculation unit is used for calculating and displaying the availability of the tooling equipment for the target debugging service according to the performance characteristic value of the tooling equipment and the performance requirement condition of the target debugging service on the tooling equipment.
Optionally, the performance characteristic value includes a load redundancy value of the tooling equipment, the state parameter includes an available load total amount of the tooling equipment and a used load amount of the tooling equipment, and the load redundancy value is calculated according to the available load total amount and the used load amount.
Optionally, the total available load includes a central processing unit utilization rate and/or a memory utilization rate of the tooling equipment, and the used load includes a central processing unit frequency and/or a total memory of the tooling equipment.
Optionally, the load redundancy value is further calculated according to the load capacity update time.
Optionally, the performance characteristic value includes a battery attenuation degree of the tooling equipment, the state parameter includes a battery parameter of the tooling equipment, and the battery attenuation degree is calculated according to the battery parameter;
the battery parameters comprise any one or more of battery capacity, charging current, charging voltage, charging times and charging history.
Optionally, the performance characteristic value includes input/output storage performance of the tooling equipment.
Optionally, the performance characteristic value includes a user equipment testing capability of the tooling equipment, where the user equipment testing capability is used to characterize the capability of the tooling equipment to process multitasks and virtual machines.
Optionally, the apparatus further comprises:
and the early warning unit is used for carrying out fault early warning on the tooling equipment if the performance characteristic value does not meet the lowest performance condition of the tooling equipment.
In a third aspect, an embodiment of the present application provides a storage device for tooling equipment, including a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to perform the following operations according to instructions in the program code:
when the tooling equipment is placed in a storage device, acquiring state parameters of the tooling equipment;
calculating a performance characteristic value of the tooling equipment according to the state parameter of the tooling equipment;
and calculating and displaying the availability degree of the tooling equipment for the target debugging service according to the performance characteristic value of the tooling equipment and the performance demand condition of the target debugging service on the tooling equipment.
Optionally, the performance characteristic value includes a load redundancy value of the tooling equipment, the state parameter includes an available load total amount of the tooling equipment and a used load amount of the tooling equipment, and the load redundancy value is calculated according to the available load total amount and the used load amount.
Optionally, the total available load includes a central processing unit utilization rate and/or a memory utilization rate of the tooling equipment, and the used load includes a central processing unit frequency and/or a total memory of the tooling equipment.
Optionally, the load redundancy value is further calculated according to the load capacity update time.
Optionally, the performance characteristic value includes a battery attenuation degree of the tooling equipment, the state parameter includes a battery parameter of the tooling equipment, and the battery attenuation degree is calculated according to the battery parameter;
the battery parameters comprise any one or more of battery capacity, charging current, charging voltage, charging times and charging history.
Optionally, the performance characteristic value includes input/output storage performance of the tooling equipment.
Optionally, the performance characteristic value includes a user equipment testing capability of the tooling equipment, where the user equipment testing capability is used to characterize the capability of the tooling equipment to process multitasks and virtual machines.
Optionally, the processor is further configured to perform the following operations according to the instructions in the program code:
and if the performance characteristic value does not meet the minimum performance condition of the tooling equipment, carrying out fault early warning on the tooling equipment.
In the implementation manner of the embodiment of the application, when the tooling equipment is placed in the storage device, the storage device can acquire the state parameters of the tooling equipment, calculate the performance characteristic value of the tooling equipment according to the state parameters of the tooling equipment, and calculate the availability degree of the tooling equipment for the target debugging service and display the availability degree according to the performance characteristic value of the tooling equipment and the performance requirement condition of the target debugging service for the tooling equipment. Therefore, the storage device can monitor the performance of the spare tooling equipment placed in the storage device and display the performance to technicians, so that the technicians can take out the performance from the storage device to meet the requirements of a motor train unit debugging site, and the debugging of the motor train unit can achieve a better effect.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art according to the drawings.
FIG. 1 is a schematic diagram of an application scenario in an embodiment of the present application;
fig. 2 is a schematic flow chart of a method for monitoring performance of tooling equipment in an embodiment of the present application;
FIG. 3 is a system diagram of a storage device of a tooling device according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a storage device of a tooling device in an embodiment of the present application;
fig. 5 is a schematic diagram of a hardware structure of a storage device of a tooling device in an embodiment of the present application.
Detailed Description
The inventor finds that when a technician takes out the tooling equipment from the storage device for the debugging site of the motor train unit, the performance state of each tooling equipment cannot be intuitively known. Therefore, technicians often take out the tooling equipment with the performance state not meeting the debugging field requirements for use, so that the debugging of the motor train unit is difficult to achieve a good effect.
Based on this, in the embodiment of the application, when the tooling device is placed in the storage device, the storage device may acquire the state parameters of the tooling device, calculate the performance characteristic value of the tooling device according to the state parameters of the tooling device, and calculate and present the availability of the tooling device for the target debugging service according to the performance characteristic value of the tooling device and the performance requirement condition of the target debugging service of the tooling device. Therefore, the storage device can monitor the performance of the spare tooling equipment placed in the storage device and display the performance to technicians, so that the technicians can select the tooling equipment with the performance meeting the requirement of the motor train unit debugging site or even the tooling equipment with better performance according to the performance of the tooling equipment displayed by the storage device so as to be used for the debugging site of the motor train unit, and the debugging of the motor train unit can achieve better effect.
As one, the embodiment of the present application may be applied to an application scenario as shown in fig. 1. The user may interact with the storage device 101 through the interactive interface 103 on the storage device 101, and the storage device may interact with the tooling device 102 through the data interface 104. Specifically, when the tooling device 102 is placed in the storage device 101, the storage device 101 may collect the state parameters of the tooling device 102 through the data interface 104, calculate the performance characteristic value of the tooling device 102 according to the state parameters of the tooling device 102, and calculate the availability of the tooling device 102 for the target debugging service according to the performance characteristic value of the tooling device 102 and the performance requirement condition of the target debugging service on the tooling device 102. Then, the storage device 101 may present the availability of the tooling device 102 on the interactive interface 103, so that the user can view the availability of the tooling device 102 from the interactive interface 103 to determine whether to use the tooling device 102.
It is to be understood that the above scenario is only one example of a scenario provided in the embodiment of the present application, and the embodiment of the present application is not limited to this scenario. For example, in other possible application scenarios, the storage device 102 may transmit the availability of the tooling device 102 to the user terminal, and the user terminal presents the availability of the tooling device 102 to the user. In summary, the above scenario examples are only exemplary, and the embodiments of the present application may be applied to any applicable application scenarios, and are not limited to the scenario examples.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, various non-limiting embodiments accompanying the present application examples are described below with reference to the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 2, fig. 2 shows a schematic flow chart of a method for monitoring performance of tooling equipment in an embodiment of the present application, where the method specifically includes:
s201, when the tooling equipment is placed in a storage device, the storage device collects the state parameters of the tooling equipment.
The specific implementation is that when the tooling equipment is placed in the storage device, the storage device can be connected to the tooling equipment through the data interface. When the storage device is triggered to collect the state parameters of the tooling equipment, the storage device can collect the state parameters of the tooling equipment through the data interface. The storage device can acquire the state parameters of the tooling equipment through various different forms of data interfaces such as electricity, optics and the like.
It can be appreciated that a variety of trigger mechanisms may be used to trigger the storage device to collect the status parameters of the tooling device. For example, the storage device may collect the state parameters of the tooling device when it is detected that the tooling device is connected. For another example, after the tooling device is connected to the storage device, the storage device may collect the state parameters of the tooling device in response to a triggering operation of a user for performing performance monitoring on the tooling device. For another example, in the process of connecting the tooling equipment with the storage device, the storage device may periodically collect the state parameters of the tooling equipment so as to continuously update the state parameters of the tooling equipment.
It should be noted that, for the tooling equipment, a plurality of different state parameters may be collected by the storage device for analyzing the availability of the tooling equipment. For example, the state parameters to be collected by the storage device may include the total available load and the used load of the tooling equipment, so that the storage device determines the load redundancy condition of the tooling equipment. The total available load may include a Central Processing Unit (CPU) utilization rate and/or a memory utilization rate of the tooling device, and the used load may include a CPU frequency and/or a total memory of the tooling device. For another example, the state parameters to be collected by the storage device may also include battery parameters of the tooling equipment, so that the storage device determines the degree of battery attenuation of the tooling equipment. The battery parameter may be any one or more of battery capacity, charging current, charging voltage, charging times, and charging history. For another example, the state parameters to be acquired by the storage device may further include state parameters related to Input/Output (I/O) storage of the tooling device, state parameters of the tooling device for processing multitasks and the virtual machine, and the like, so that the storage device determines the I/O storage performance of the tooling device, the User Equipment (UE) test performance, and the like. It will be appreciated that the memory device may be configured to collect any one or more of the above-mentioned status parameters, depending on the performance of the tooling device to be determined.
S202, the storage device calculates the performance characteristic value of the tooling equipment according to the state parameter of the tooling equipment.
In specific implementation, when the storage device is triggered to provide the availability of the tooling equipment, the storage device can acquire the latest acquired state parameters of the tooling equipment, and calculate the corresponding performance characteristic value of the tooling equipment according to the acquired state parameters.
It will be appreciated that a variety of triggering mechanisms may be used to trigger the presentation of the availability of the storage device to the tooling equipment. For example, when a user triggers an operation to reveal a degree of availability for a tooling device, the storage device may be triggered to provide the degree of availability for the tooling device in response to the operation. For another example, during the process of connecting the tooling equipment with the storage device, the storage device may periodically provide the availability of the tooling equipment, so as to continuously update the availability of the tooling equipment.
It should be noted that the storage device may calculate different performance characteristic values for the tooling equipment according to different scene requirements.
As an example, the performance characteristic value to be calculated by the storage device may include a load redundancy value of the tooling equipment. The load redundancy value may be calculated according to a total available load of the tooling device and an available load, where the total available load may include, for example, a central processing unit utilization rate and/or a memory utilization rate of the tooling device, and the available load may include, for example, a central processing unit frequency and/or a total memory of the tooling device. Specifically, to calculate the load redundancy value, the storage device may set a load capacity update time, and the load redundancy value specifically indicates the capacity of the tooling device to add the load after the tooling device warns of the load capacity update time.
For example, the load redundancy value of the tooling equipment can be calculated by the following formula:
P＝T·R/F；
R＝k·Rcpu·Rm；
F＝k·Fcpu·Fm；
wherein T represents a load capacity update time; r represents a fitting value of the total available load of the tooling equipment; f represents a fitted value of the used load of the tooling equipment; rcpuRepresenting the CPU frequency of the tooling equipment; rmRepresenting the total memory amount of the tooling equipment; fcpuRepresenting the CPU utilization rate of the tooling equipment; fmRepresenting the memory utilization rate of the tooling equipment; k represents a specific gravity coefficient.
As another example, the performance characteristic value to be calculated by the storage device may include a degree of battery degradation of the tooling equipment. The battery attenuation degree can be calculated according to battery parameters of the tooling equipment. The battery parameters may include any one or more of battery capacity, charging current, charging voltage, charging times and charging history of the tooling equipment.
For example, the battery attenuation degree may be embodied as the current actual battery capacity of the tooling equipment, and the actual battery capacity may be calculated by integrating the charging current of the tooling equipment. Under the condition that the tooling equipment uploads the battery capacity percentage to the storage device, the storage device can integrate the charging current within a certain time to obtain the charging electric quantity, and then the actual battery capacity of the tooling equipment can be calculated by combining the battery capacity percentage corresponding to the charging electric quantity within the time, and the equipment does not need to discharge the residual electric quantity in the battery.
As yet another example, the performance characteristic to be calculated by the storage device may include I/O storage performance of the tooling equipment. The I/O storage performance can be calculated according to the state parameters of the tooling equipment related to the I/O storage.
As yet another example, the performance characteristic values to be calculated by the storage device may include UE testing capabilities of the tooling equipment. The UE testing capability is used for representing the capability of the tooling equipment for processing the multitask and the virtual machine, and can be calculated according to the state parameters of the tooling equipment for processing the multitask and the virtual machine.
It is understood that the storage device may select any one or more of the performance characteristic values to be calculated according to actual requirements, and this embodiment is not limited thereto.
And S203, the storage device calculates and displays the availability of the tooling equipment for the target debugging service according to the performance characteristic value of the tooling equipment and the performance requirement condition of the target debugging service on the tooling equipment.
In particular, the storage device may set a performance requirement condition corresponding to each performance characteristic value, for example, the storage device may set a load redundancy value minimum threshold for the load redundancy value. When the availability degree needs to be displayed, the storage device can calculate the availability degree of the tooling equipment according to each calculated performance characteristic value and the corresponding performance requirement condition. Then, the storage device can show the availability of the tooling equipment to the user through the self interactive interface, or can also send the availability of the tooling equipment to the user terminal, so that the user terminal can show the availability of the tooling equipment.
When the availability degree of the tooling equipment is calculated according to various different performance characteristic values, different weight ratios can be set for each performance characteristic value, and the performance degree of each performance characteristic value under the performance requirement condition is weighted according to the weight ratio of each performance characteristic value, so that the overall performance degree of the tooling equipment is obtained and is used as the availability degree of the tooling equipment.
It can be understood that, for each performance characteristic value, if the performance characteristic value is too low, the tooling equipment may be in a fault state, and at this time, the tooling equipment is not only unavailable for debugging services, but also needs to be maintained before being recovered to normal. Therefore, in some embodiments, the storage device may set a minimum performance condition for each performance characteristic value, and if the performance characteristic value calculated by the storage device does not satisfy the performance requirement condition of the tooling equipment, the storage device may perform fault early warning on the tooling equipment to prompt a technician to maintain the tooling equipment. The minimum performance condition corresponding to each performance characteristic value can be set according to the performance requirement condition corresponding to each performance characteristic value. For example, the minimum performance condition for each performance characteristic value may be 30% of its corresponding performance requirement condition. In addition, the storage device can also set a minimum available condition for the available degree of the tooling equipment, and if the available degree calculated by the storage device does not meet the minimum available condition, the storage device can also perform fault early warning on the tooling equipment so as to prompt a technician to maintain the tooling equipment. Wherein the lowest available condition may be set according to a normal range of the availability degree. For example, the minimum available condition may be 10% of the normal range of availability. The normal range of the availability degree may be the availability degree calculated from the performance characteristic value defined for each performance requirement condition.
Fig. 3 shows a system architecture of a storage device in the present embodiment. And the storage device monitors the performance of the tool equipment placed in the storage device through an industrial personal computer. The industrial personal computer can acquire related state parameters of a CPU, an internal memory, charging capacity, battery capacity, IO storage performance, UE testing performance and the like of the tool equipment through the data interface. In addition, the industrial personal computer can acquire data of different types of tool equipment according to debugging services, wherein the data includes equipment self-inspection information, equipment historical configuration information, equipment attribute information, equipment metering information, equipment state information, equipment real-time data and the like, so that data sources in various objects on the lower layer are analyzed according to variables of a communication protocol, and interaction with an upper layer system is facilitated. The availability degree calculated by the industrial personal computer for the tooling equipment can be displayed to a user through an interactive interface, or fault alarm can be carried out through an alarm device. In addition, the storage device may further include an Identification (ID) card reader, a Radio Frequency Identification (RFID) device, a camera, a touch screen, a wireless router, a dc centralized charging device, a Personal Digital Assistant (PDA) charger, a smoke and fire alarm, a temperature sensor, a humidity sensor, an audible and visual alarm, a two-dimensional code scanning gun, a terminal management software system, a power supply, a control system, and the like. In addition, the storage device can interact with external workshop equipment, informatization systems and workshop sensors. Therefore, the storage device can realize the functions of electric quantity management, standing book management, use frequency, metering period, operation record, storage position and the like of the tooling equipment, so that the functions of early warning prompt, real-time state monitoring, intelligent charging management data interaction, equipment taking record, field state recording and the like can be carried out on the tooling equipment according to the metering period of the tooling equipment.
In this embodiment, when the tooling equipment is placed in the storage device, the storage device may collect the state parameters of the tooling equipment, calculate the performance characteristic value of the tooling equipment according to the state parameters of the tooling equipment, and calculate and display the availability of the tooling equipment for the target debugging service according to the performance characteristic value of the tooling equipment and the performance requirement condition of the target debugging service on the tooling equipment. Therefore, the storage device can monitor the performance of the spare tooling equipment placed in the storage device and display the performance to technicians, so that the technicians can take out the performance from the storage device to meet the requirements of a motor train unit debugging site, and the debugging of the motor train unit can achieve a better effect.
In addition, the embodiment of the application also provides a storage device of the tooling equipment. Referring to fig. 4, fig. 4 is a schematic structural diagram illustrating a storage device of a tooling device according to an embodiment of the present application, where the storage device 400 includes:
the acquisition unit 401 is configured to acquire state parameters of the tooling equipment when the tooling equipment is placed in the storage device;
a first calculating unit 402, configured to calculate a performance characteristic value of the tooling equipment according to the state parameter of the tooling equipment;
and a second calculating unit 403, configured to calculate and display a usability of the tooling equipment for the target debugging service according to the performance characteristic value of the tooling equipment and a performance requirement condition of the target debugging service for the tooling equipment.
In some embodiments, the performance characteristic value includes a load redundancy value of the tooling equipment, the state parameter includes a total available load amount of the tooling equipment and an amount of used load of the tooling equipment, and the load redundancy value is calculated according to the total available load amount and the amount of used load.
In some embodiments, the total available load includes a central processing unit utilization rate and/or a memory utilization rate of the tooling device, and the used load includes a central processing unit frequency and/or a total memory of the tooling device.
In some embodiments, the load redundancy value is also calculated as a function of load capacity update time.
In some embodiments, the performance characteristic value includes a battery attenuation degree of the tooling equipment, the state parameter includes a battery parameter of the tooling equipment, and the battery attenuation degree is calculated according to the battery parameter;
the battery parameters comprise any one or more of battery capacity, charging current, charging voltage, charging times and charging history.
In some embodiments, the performance characteristic value comprises an input-output storage performance of the tooling device.
In some embodiments, the performance characteristic value includes a user equipment testing capability of the tooling equipment, and the user equipment testing capability is used for characterizing the capability of the tooling equipment for processing multitask and virtual machine.
In some embodiments, the apparatus further comprises:
and the early warning unit is used for carrying out fault early warning on the tooling equipment if the performance characteristic value does not meet the lowest performance condition of the tooling equipment.
In this embodiment, when the tooling equipment is placed in the storage device, the storage device may collect the state parameters of the tooling equipment, calculate the performance characteristic value of the tooling equipment according to the state parameters of the tooling equipment, and calculate and display the availability of the tooling equipment for the target debugging service according to the performance characteristic value of the tooling equipment and the performance requirement condition of the target debugging service on the tooling equipment. Therefore, the storage device can monitor the performance of the spare tooling equipment placed in the storage device and display the performance to technicians, so that the technicians can take out the performance from the storage device to meet the requirements of a motor train unit debugging site, and the debugging of the motor train unit can achieve a better effect.
In addition, the embodiment of the application also provides a storage device of the tooling equipment. Referring to fig. 5, fig. 5 is a schematic diagram illustrating a hardware structure of a storage device of a tooling device in an embodiment of the present application, where the device 500 includes a processor 501 and a memory 502;
the memory 502 is used for storing program codes and transmitting the program codes to the processor 501;
the processor 501 is configured to perform the following operations according to instructions in the program code:
when the tooling equipment is placed in a storage device, acquiring state parameters of the tooling equipment;
calculating a performance characteristic value of the tooling equipment according to the state parameter of the tooling equipment;
and calculating and displaying the availability degree of the tooling equipment for the target debugging service according to the performance characteristic value of the tooling equipment and the performance demand condition of the target debugging service on the tooling equipment.
In some embodiments, the performance characteristic value includes a load redundancy value of the tooling equipment, the state parameter includes a total available load amount of the tooling equipment and an amount of used load of the tooling equipment, and the load redundancy value is calculated according to the total available load amount and the amount of used load.
In some embodiments, the total available load includes a central processing unit utilization rate and/or a memory utilization rate of the tooling device, and the used load includes a central processing unit frequency and/or a total memory of the tooling device.
In some embodiments, the load redundancy value is also calculated as a function of load capacity update time.
In some embodiments, the performance characteristic value includes a battery attenuation degree of the tooling equipment, the state parameter includes a battery parameter of the tooling equipment, and the battery attenuation degree is calculated according to the battery parameter;
the battery parameters comprise any one or more of battery capacity, charging current, charging voltage, charging times and charging history.
In some embodiments, the performance characteristic value comprises an input-output storage performance of the tooling device.
In some embodiments, the performance characteristic value includes a user equipment testing capability of the tooling equipment, and the user equipment testing capability is used for characterizing the capability of the tooling equipment for processing multitask and virtual machine.
In some embodiments, the processor 501 is further configured to perform the following operations according to instructions in the program code:
and if the performance characteristic value does not meet the minimum performance condition of the tooling equipment, carrying out fault early warning on the tooling equipment.
In this embodiment, when the tooling equipment is placed in the storage device, the storage device may collect the state parameters of the tooling equipment, calculate the performance characteristic value of the tooling equipment according to the state parameters of the tooling equipment, and calculate and display the availability of the tooling equipment for the target debugging service according to the performance characteristic value of the tooling equipment and the performance requirement condition of the target debugging service on the tooling equipment. Therefore, the storage device can monitor the performance of the spare tooling equipment placed in the storage device and display the performance to technicians, so that the technicians can take out the performance from the storage device to meet the requirements of a motor train unit debugging site, and the debugging of the motor train unit can achieve a better effect.
As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that all or part of the steps in the above embodiment methods can be implemented by software plus a general hardware platform. Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a storage medium, such as a read-only memory (ROM)/RAM, a magnetic disk, an optical disk, or the like, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network communication device such as a router) to execute the method according to the embodiments or some parts of the embodiments of the present application.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, it is relatively simple to describe, and reference may be made to some descriptions of the method embodiment for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate parts may or may not be physically separate, and the parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The above description is only an exemplary embodiment of the present application, and is not intended to limit the scope of the present application.
Claims (7)
1. A performance monitoring method of tool equipment is characterized by comprising the following steps:
when the tooling equipment is placed in a storage device, the storage device collects the state parameters of the tooling equipment;
the storage device calculates a performance characteristic value of the tooling equipment according to the state parameter of the tooling equipment;
the storage device calculates and displays the availability of the tooling equipment for the target debugging service according to the performance characteristic value of the tooling equipment and the performance requirement condition of the target debugging service for the tooling equipment;
the performance characteristic values comprise load redundancy values of the tooling equipment, the state parameters comprise the total available load of the tooling equipment and the used load of the tooling equipment, and the load redundancy values are calculated according to the total available load and the used load;
the available load total amount comprises the utilization rate of a central processing unit and/or the utilization rate of a memory of the tooling equipment, and the used load amount comprises the frequency of the central processing unit and/or the total amount of the memory of the tooling equipment;
the load redundancy value is calculated according to the load capacity updating time;
the load redundancy value may be calculated by the following equation:
P＝T·R/F；
R＝k·Rcpu·Rm；
F＝k·Fcpu·Fm；
wherein T represents a load capacity update time; r represents the simulation of the total available load of the tooling equipmentThe sum value; f represents a fitted value of the used load of the tooling equipment; rcpuRepresenting the CPU frequency of the tooling equipment; rmRepresenting the total memory amount of the tooling equipment; fcpuRepresenting the CPU utilization rate of the tooling equipment; fmRepresenting the memory utilization rate of the tooling equipment; k represents a specific gravity coefficient.
2. The method of claim 1, wherein the performance characteristic value comprises a battery attenuation degree of the tooling equipment, the state parameter comprises a battery parameter of the tooling equipment, and the battery attenuation degree is calculated according to the battery parameter;
the battery parameters comprise any one or more of battery capacity, charging current, charging voltage, charging times and charging history.
3. The method of claim 1, wherein the performance characteristic comprises an input-output memory performance of the tooling device.
4. The method of claim 1, wherein the performance characteristic values comprise user equipment testing capabilities of the tooling equipment, and the user equipment testing capabilities are used for characterizing the ability of the tooling equipment to handle multitasking and virtual machines.
5. The method of claim 1, further comprising:
and if the performance characteristic value does not meet the minimum performance condition of the tooling equipment, the storage device carries out fault early warning on the tooling equipment.
6. The utility model provides a storage device of frock equipment which characterized in that includes:
the acquisition unit is used for acquiring the state parameters of the tooling equipment when the tooling equipment is placed in the storage device;
the first calculation unit is used for calculating a performance characteristic value of the tooling equipment according to the state parameter of the tooling equipment;
the second calculation unit is used for calculating and displaying the availability degree of the tooling equipment for the target debugging service according to the performance characteristic value of the tooling equipment and the performance requirement condition of the target debugging service on the tooling equipment; the performance characteristic values comprise load redundancy values of the tooling equipment, the state parameters comprise the total available load of the tooling equipment and the used load of the tooling equipment, and the load redundancy values are calculated according to the total available load and the used load;
the available load total amount comprises the utilization rate of a central processing unit and/or the utilization rate of a memory of the tooling equipment, and the used load amount comprises the frequency of the central processing unit and/or the total amount of the memory of the tooling equipment;
the load redundancy value is calculated according to the load capacity updating time;
the load redundancy value may be calculated by the following equation:
P＝T·R/F；
R＝k·Rcpu·Rm；
F＝k·Fcpu·Fm；
wherein T represents a load capacity update time; r represents a fitting value of the total available load of the tooling equipment; f represents a fitted value of the used load of the tooling equipment; rcpuRepresenting the CPU frequency of the tooling equipment; rmRepresenting the total memory amount of the tooling equipment; fcpuRepresenting the CPU utilization rate of the tooling equipment; fmRepresenting the memory utilization rate of the tooling equipment; k represents a specific gravity coefficient.
7. The storage device of the tooling equipment is characterized by comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the performance monitoring method of the tooling equipment in any one of claims 1 to 5 according to instructions in the program code.
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