CN111010187A - BCM load feedback AD sampling time-sharing scheduling method - Google Patents
BCM load feedback AD sampling time-sharing scheduling method Download PDFInfo
- Publication number
- CN111010187A CN111010187A CN201911365061.7A CN201911365061A CN111010187A CN 111010187 A CN111010187 A CN 111010187A CN 201911365061 A CN201911365061 A CN 201911365061A CN 111010187 A CN111010187 A CN 111010187A
- Authority
- CN
- China
- Prior art keywords
- group
- time
- sampling
- members
- level
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M1/00—Analogue/digital conversion; Digital/analogue conversion
- H03M1/66—Digital/analogue converters
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention relates to a BCM load feedback AD sampling time-sharing scheduling method, which comprises the following steps: (1) dividing each control object into a plurality of groups with different grades according to the time precision requirement of the BCM control object, and numbering each member of each group in sequence; (2) setting reference time slices, wherein each reference time slice executes a sampling channel of a member of a group, the members in each group are sequentially sampled from the group with the highest level, when the sampling of the group with the non-highest level is executed, the time precision period of the group with the higher level arrives, the group with the higher level is preferentially executed until all the members of the group with the higher level are sampled, and the sampling of the group with the non-highest level is continued until all the members of the group with the lowest level are sampled.
Description
Technical Field
The invention relates to the technical field of automotive electronics, in particular to a fault detection function, and specifically relates to a BCM load feedback AD sampling time-sharing scheduling method.
Background
The BCM is used as an important component of the vehicle body electronics, controls a plurality of output objects, and simultaneously carries out AD sampling on the feedback of the output objects to obtain a current value or a voltage value so as to realize a fault detection function. Different control objects have different time precision requirements, and as the number of the control objects increases, the number of samples also increases, and the total sampling time consumption of each time precision is larger.
Therefore, there is a need to provide a method for uniformly managing the sampling of the control objects with different time accuracies, rationalizing the time slices of the system, and reducing the MCU resource occupancy rate.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a BCM load feedback AD sampling time-sharing scheduling method for improving the sampling efficiency and reducing the occupation rate of MCU resources.
In order to achieve the above purpose, the BCM load feedback AD sampling time-sharing scheduling method of the present invention is as follows:
the method comprises the following steps:
(1) dividing each control object into a plurality of groups with different grades according to the time precision requirement of the BCM control object, and numbering each member of each group in sequence;
(2) setting reference time slices, each reference time slice executing a sampling channel of a member of a group, starting from the group with the highest level, sequentially sampling the members in each group according to the reference time slices, and when the sampling of the group with the non-highest level is executed, the time precision period of the group with the higher level arrives, preferentially executing the group with the higher level until all the members of the group with the higher level are sampled, and continuing the sampling of the group with the non-highest level until all the members of the group with the lowest level are sampled.
Preferably, the method comprises the steps of:
(3) if the time precision period of the highest-level packet does not arrive, entering an idle period, waiting for the arrival of the time precision period of the highest-level packet, and repeating the steps (1) to (2);
and (3) if the time precision period of the highest-level packet arrives, directly repeating the steps (1) to (2).
Preferably, the number of members in each group is set such that the time at which all members in the group are sampled does not exceed the time accuracy period of the group.
Preferably, in the step (1), when the time precision requirement of the control object changes, the group in which the control object is located is subdivided.
Therefore, in the method of the invention, the time precision grouping can be configured according to the actual need, and the members can be added or deleted according to the actual need, so that the flexibility is high; the high-level time precision is preferentially guaranteed to be executed, the low-level time precision is executed in the remaining time, each reference time slice samples one channel, time management is dispersed, and the efficiency of unit time is improved; when a certain packet is sampled, the packet with lower time precision is immediately executed, when the packet with lower time precision is not executed, the execution period of the packet with higher execution time precision arrives, the packet with high execution time precision is executed, and after the execution period is completed, the rest part of the packet with lower time precision is executed, so that the system time slice is rationalized, and the occupancy rate of MCU resources is reduced.
Drawings
Fig. 1 is a grouping diagram of a BCM load feedback AD sampling time-sharing scheduling method of the present invention.
Fig. 2 is a flow chart of scheduling of sampling of a control object in the BCM load feedback AD sampling time-sharing scheduling method of the present invention.
Detailed Description
In order to more clearly describe the technical contents of the present invention, the following further description is given in conjunction with specific embodiments.
As shown in fig. 1-2, a BCM load feedback AD sampling time-sharing scheduling method of the present invention is disclosed, wherein the method comprises the following steps:
as shown in fig. 1, according to the time accuracy requirement of the BCM control object, each control object is divided into 3 groups with different levels, each member of each group is numbered in sequence, and the sampling sequence of each member in each group is performed according to the number.
The method comprises the following specific steps:
s101, placing a control object which has high time precision requirement and needs quick response in a No. 1 marshalling (time precision group 1), such as a brake lamp, a door lock and the like, and configuring a sampling channel which needs to be used;
s102, for control objects with medium time precision requirements, placing the control objects in a No. 2 grouping (time precision group 2), such as a left turn light, a right turn light and the like, and configuring sampling channels required to be used;
s103, for the control objects with general time precision requirements, placing the control objects in a No. 3 group (time precision group 3), such as system working voltage, steering lamp voltage and the like, and configuring sampling channels to be used.
Wherein the number of members within each group is set such that the time at which all members within the group have been sampled does not exceed the time accuracy period of the group.
When the time precision requirement of the control object changes, the group where the control object is located is divided again, and the number of the groups is maintained; when the number of control objects changes, the number of group members is maintained.
As shown in fig. 2, in order to control the scheduling flow chart of the sampling of the object, first, a reference time slice is set, each reference time slice executes a sampling channel of one member of one packet, the members in each packet are sampled in sequence according to the reference time slice from the highest-level packet, when the sampling of the non-highest-level packet is executed, the time precision cycle of the higher-level packet arrives, the higher-level packet is executed preferentially, and the sampling of the non-highest-level packet is continued until all the members of the higher-level packet are sampled.
The group with the highest time precision is sampled firstly according to the member number sequence, after all the members of the group are sampled, the group with the second highest time precision is sampled according to the member number sequence, and the rest is analogized;
when the group execution time with higher time precision arrives again, the group is sampled preferentially, after all the group members are sampled, the rest members of the group with the second time precision are executed again, and the rest members are analogized in the same way;
and closing the reference time slice until the sampling of all the group members is completed, and then starting the next sampling.
Taking grouping of 3 grades as an example for explanation, the specific steps are as follows:
s201, firstly, sequentially sampling the members of the time precision group 1 according to reference time slices, wherein each reference time slice executes a sampling channel of one member until all the members in the time precision group 1 are completely sampled;
s202, sequentially sampling the members of the time precision group 2 according to a reference time slice;
s203, when the scheduling period of the time precision group 1 is up, the sampling of the time precision group 1 is performed preferentially until the members in the time precision group 1 finish sampling in sequence;
s204, continuing to sequentially sample the rest members of the time precision group 2 until all the members in the time precision group 2 are sampled;
s205, sequentially sampling the members of the time precision group 3 according to the reference time slice, and closing the reference time slice until all the members in the time precision group 3 are sampled;
s206, entering an idle period if the next sampling period does not arrive;
s207, in the next sampling period, the scheduling period of the time precision group 1 arrives again, and the sampling is performed from the time precision group 1, and the process is repeated.
In step S206, when the scheduling period of time accuracy group 1 arrives in the next sampling period, sampling is performed from time accuracy group 1, and the process is repeated.
Further, with the highest level of time accuracy as the sampling on time, at the start of sampling, one reference time slice is turned on, each reference time slice sampling one packet member. After the sampling of each member of all groups is completed, the reference time slice is closed until the next sampling on time is reached.
Therefore, in the method of the invention, the time precision grouping can be configured according to the actual need, and the members can be added or deleted according to the actual need, so that the flexibility is high; the high-level time precision is preferentially guaranteed to be executed, the low-level time precision is executed in the remaining time, each reference time slice samples one channel, time management is dispersed, and the efficiency of unit time is improved; when a certain packet is sampled, the packet with lower time precision is immediately executed, when the packet with lower time precision is not executed, the execution period of the packet with higher execution time precision arrives, the packet with high execution time precision is executed, and after the execution period is completed, the rest part of the packet with lower time precision is executed, so that the system time slice is rationalized, and the occupancy rate of MCU resources is reduced.
In this specification, the invention has been described with reference to specific embodiments thereof. It will, however, be evident that various modifications and changes may be made thereto without departing from the broader spirit and scope of the invention. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.
Claims (4)
1. A BCM load feedback AD sampling time-sharing scheduling method is characterized by comprising the following steps:
(1) dividing each control object into a plurality of groups with different grades according to the time precision requirement of the BCM control object, and numbering each member of each group in sequence;
(2) setting reference time slices, each reference time slice executing a sampling channel of a member of a group, starting from the group with the highest level, sequentially sampling the members in each group according to the reference time slices, and when the sampling of the group with the non-highest level is executed, the time precision period of the group with the higher level arrives, preferentially executing the group with the higher level until all the members of the group with the higher level are sampled, and continuing the sampling of the group with the non-highest level until all the members of the group with the lowest level are sampled.
2. The BCM load feedback AD sampling time-sharing scheduling method of claim 1, wherein said method comprises the steps of:
(3) if the time precision period of the highest-level packet does not arrive, entering an idle period, waiting for the arrival of the time precision period of the highest-level packet, and repeating the steps (1) to (2);
and (3) if the time precision period of the highest-level packet arrives, directly repeating the steps (1) to (2).
3. The BCM load feedback AD sample time division scheduling method according to claim 1, wherein the number of members in each packet is set such that the time at which all the members in the packet are sampled does not exceed the time precision period of the packet.
4. The BCM load feedback AD sampling time-sharing scheduling method of claim 1 or 3, wherein in said step (1), when the time accuracy requirement of a control object changes, the group where the control object is located is re-divided.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911365061.7A CN111010187B (en) | 2019-12-26 | 2019-12-26 | BCM load feedback AD sampling time-sharing scheduling method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911365061.7A CN111010187B (en) | 2019-12-26 | 2019-12-26 | BCM load feedback AD sampling time-sharing scheduling method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111010187A true CN111010187A (en) | 2020-04-14 |
| CN111010187B CN111010187B (en) | 2023-03-14 |
Family
ID=70117938
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911365061.7A Active CN111010187B (en) | 2019-12-26 | 2019-12-26 | BCM load feedback AD sampling time-sharing scheduling method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111010187B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1313275A1 (en) * | 2001-11-16 | 2003-05-21 | Lucent Technologies Inc. | A multi-priority re-sequencing method and apparatus |
| CN101048984A (en) * | 2004-10-21 | 2007-10-03 | 日本电气株式会社 | Communication quality measurement device and measurement method thereof |
| CN101180831A (en) * | 2005-05-24 | 2008-05-14 | 诺基亚公司 | Method and apparatus for hierarchical transmission/reception in digital broadcast |
| US20080273504A1 (en) * | 2007-05-04 | 2008-11-06 | John Andrew Foley | Synchronizing media data from multiple data channels for IP network transport |
| CN101548494A (en) * | 2006-08-22 | 2009-09-30 | 卓越电信股份有限公司 | Apparatus and method of controlled delay packet forwarding |
| CN102209307A (en) * | 2011-05-20 | 2011-10-05 | 中兴通讯股份有限公司 | Time synchronization method and apparatus thereof |
| CN106114426A (en) * | 2016-06-28 | 2016-11-16 | 广州汽车集团股份有限公司 | A kind of Vehicular power management system and control method thereof |
| CN107454628A (en) * | 2017-07-18 | 2017-12-08 | 西安电子科技大学 | Compete the grouping scheduling method based on statistics load in multiple access |
-
2019
- 2019-12-26 CN CN201911365061.7A patent/CN111010187B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1313275A1 (en) * | 2001-11-16 | 2003-05-21 | Lucent Technologies Inc. | A multi-priority re-sequencing method and apparatus |
| CN101048984A (en) * | 2004-10-21 | 2007-10-03 | 日本电气株式会社 | Communication quality measurement device and measurement method thereof |
| CN101180831A (en) * | 2005-05-24 | 2008-05-14 | 诺基亚公司 | Method and apparatus for hierarchical transmission/reception in digital broadcast |
| CN101548494A (en) * | 2006-08-22 | 2009-09-30 | 卓越电信股份有限公司 | Apparatus and method of controlled delay packet forwarding |
| US20080273504A1 (en) * | 2007-05-04 | 2008-11-06 | John Andrew Foley | Synchronizing media data from multiple data channels for IP network transport |
| CN102209307A (en) * | 2011-05-20 | 2011-10-05 | 中兴通讯股份有限公司 | Time synchronization method and apparatus thereof |
| CN106114426A (en) * | 2016-06-28 | 2016-11-16 | 广州汽车集团股份有限公司 | A kind of Vehicular power management system and control method thereof |
| CN107454628A (en) * | 2017-07-18 | 2017-12-08 | 西安电子科技大学 | Compete the grouping scheduling method based on statistics load in multiple access |
Non-Patent Citations (1)
| Title |
|---|
| 王玮;: "变电站共网共口传输实现方法" * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111010187B (en) | 2023-03-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108122032B (en) | Neural network model training method, device, chip and system | |
| CN105825040A (en) | Short-term power load prediction method | |
| CN104915251A (en) | Task scheduling method and device | |
| CN109597385A (en) | A kind of grating map and more AGV dynamic path planning methods based on grating map | |
| CN111010187B (en) | BCM load feedback AD sampling time-sharing scheduling method | |
| US20160055035A1 (en) | Multiple simultaneous request resource management | |
| CN108136930B (en) | Method for controlling a charging process | |
| CN105631134A (en) | Batched random mechanism for chip random verification | |
| CN110543699B (en) | Shared vehicle travel data simulation and shared vehicle scheduling method, device and equipment | |
| US20180137441A1 (en) | Approach for second-time resource reservation based on smart repetitive booking | |
| CN109890735B (en) | Estimating passenger number in elevator system | |
| CN101872439A (en) | Common criminal law sentencing method and system for hundred accusations | |
| CN210040455U (en) | Battery management system and voltage sampling control circuit and electric automobile thereof | |
| CN109933415A (en) | Processing method, device, equipment and the medium of data | |
| CN102508720B (en) | Method for improving efficiency of preprocessing module and efficiency of post-processing module and system | |
| Shen et al. | Vehicle scheduling based on variable trip times with expected on‐time performance | |
| CN116126937A (en) | Job scheduling method, job scheduling device, electronic equipment and storage medium | |
| CN110348818B (en) | Intelligent process processing method and system for process engine | |
| KR101144502B1 (en) | Method for scheduling Time Triggered Controller Area Network | |
| US8564465B2 (en) | Analog to digital conversion apparatus with a reduced number of ADCs | |
| CN105553802B (en) | A kind of data real-time reception method of isomery avionics network and bus | |
| CN111784157A (en) | Allocation method and device for boarding gate resources | |
| CN110825504A (en) | Server-based hybrid key accidental task energy consumption optimization method | |
| CN104317653A (en) | Scheduling method and device for accelerating short rum-time job processing | |
| Wolput et al. | A new stochastic mesomodel for optimizing multi-modal signal settings for networks |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |