CN110209433A - A method of identification different model concentrator - Google Patents
A method of identification different model concentrator Download PDFInfo
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- CN110209433A CN110209433A CN201910301846.1A CN201910301846A CN110209433A CN 110209433 A CN110209433 A CN 110209433A CN 201910301846 A CN201910301846 A CN 201910301846A CN 110209433 A CN110209433 A CN 110209433A
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- memory
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44521—Dynamic linking or loading; Link editing at or after load time, e.g. Java class loading
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44568—Immediately runnable code
- G06F9/44578—Preparing or optimising for loading
Abstract
The present invention relates to a kind of methods for identifying different model concentrator, it is characterised in that: the method includes S1 initializes current concentrator software；S2, the driving of load store device, recognition memory type；S3 determines memory capacity using memory capacity recognizer；S4 determines concentrator model.By being identified to concentrator model, concentrator software can be made general between different model concentrator, software development cost is saved, improve production efficiency.
Description
Technical field
The present invention relates to measuring instrument technical field more particularly to a kind of methods for identifying different model concentrator.
Background technique
Core equipment of the concentrator as metering automation system, needs to provide different function for different application scenarios
Can, for example whether needing to measure, whether encrypting etc..This just needs to carry out differentiation configuration to the hardware resource of concentrator to come
Meet the different functional requirement of concentrator, and then derive the concentrator product of different model, for example, have EERPOM or
The concentrator of FRAM memory.
Existing concentrator in use, for different model concentrator need to provide the software of different editions into
Row such as upgrades, safeguards operation, this will bring that development difficulty is big, production efficiency is low and safeguard not because product software is not general
The problems such as facilitating.
Summary of the invention
In view of the above problems, the purpose of the present invention is to provide a kind of method for identifying different model concentrator, this method
Different model concentrator can be identified so that concentrator software be able to carry out it is general, saved software development maintenance cost,
Improve production efficiency.
To achieve the above object, the technical solution adopted by the present invention are as follows: a method of identification different model concentrator,
It is characterized in that: the method includes,
S1 initializes current concentrator software；
S2, the driving of load store device, recognition memory type；
S3 determines memory capacity using memory capacity recognizer；
S4 determines concentrator model.
Further, load store device drives in the S2, recognition memory type, specifically,
If load first, which drive, successfully judges memory in current concentrator for first kind memory, if loading
Second drives successfully, then judges the memory in current concentrator for Second Type memory, wherein the storage drive packet
Include the first driving of driving first kind memory and the second driving of driving Second Type memory.
Further, memory capacity is determined using memory capacity recognizer in the step S3, specifically,
S31, data are sequentially written in memory, every one data of write-in are that spy is written in the preceding m byte of active cell
Code is levied, this feature code value is equal to the serial number of presently written data, and one condition code of every write-in is since second unit
Execute read back operation；
Whether S32, the condition code for judging first unit readback condition code corresponding with serial number n are equal, if equal, deposit
The memory capacity x=K* (n-1) (bit) of reservoir, wherein K is the digit of a unit in memory, if it is not, then executing S33；
S33, data and character pair code are continued to write to, and executes read back operation, execute S32.
Further, the method also includes, after executing the step S4, also perform following operation,
S5, load software function module corresponding with concentrator model；
S6 terminates concentrator identification.
Further, the K value is 8kbit.
Further, the m value is 4.
Further, the first memory is FRAM.
Further, the second memory is EERPOM.
Further, model MB85RC64 or MB85RC128 that the FRAM is used；The model that the EERPOM is used
For M24512R or M24256R.
Further, the concentrator first memory or second memory are connected by MCU in I2C mode and concentrator
It connects.
Compared with the prior art, the advantages of the present invention are as follows: by whether successfully judging to collect to storage drive load
Type of memory in middle device further judges that memory capacity to determine concentrator model, is then loaded according to ardware model number
The corresponding function module of concentrator software, can make concentrator software be common to the concentrator of different model, and of the invention
The used algorithm of hardware identification solution is simple and easy, and recognition speed is fast, can save software development cost, improve production efficiency,
It is also convenient for maintenance simultaneously, reduces maintenance cost.
Detailed description of the invention
Fig. 1 is the module diagram that concentrator MCU of the present invention is connect with memory.
Fig. 2 is the method flow diagram of identification different model concentrator of the invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, and for explaining only the invention, and is not considered as limiting the invention.
The module diagram being connect as shown in Figure 1 for concentrator MCU of the invention with memory, as shown, the concentration
Device MCU is connect by way of I2C with memory, and the memory pin that memory is used is data pin SDA, clock pins
SCL, strobe pin CS, this connection type save circuit board space and chip pin.
The memory of concentrator generallys use FRAM or EERPOM in metering automation system at present, it is easy to expect,
The concentrator of different model can use different types of memory, and every kind of memory has oneself corresponding capacity, in this way, then
There are following combinations:
The concentrator of model A, uses FRAM in hardware design, the concentrator of model B, uses EEPROM in hardware design；
Or the concentrator of model C and model D, FRAM is all used in hardware design, model C concentrator uses capacity c's
The concentrator of FRAM, model D use the FRAM of capacity d；Alternatively, the concentrator of model E and model F, all used in hardware design
EEPROM, model E concentrator use the EEPROM of capacity e, and the concentrator of model F uses the EEPROM of capacity f.
In the present embodiment, the model of the FRAM uses MB85RC64 or MB85RC128, and the model of the EERPOM uses
M24512R or M24256R, it is obvious that the model of concentrator is distinguished according to the type of memory and memory capacity,
It identifies the concentrator of different model, then needs to be determined the type of memory and memory capacity of concentrator.
It is illustrated in figure 2 the method flow diagram of present invention identification different model concentrator, as shown, what this method was implemented
Detailed process is as follows:
S1 initializes current concentrator software；
S2, the driving of load store device, recognition memory type；
S3 determines memory capacity using memory capacity recognizer；
S4 determines concentrator model；
S5, load software function module corresponding with concentrator model；
S6 terminates concentrator identification.
Load store device drives in above-mentioned S2, recognition memory type, specifically, sentencing if load first drives successfully
The memory to break in current concentrator is that first kind memory judges in current concentrator if load second drives successfully
Memory be Second Type memory, wherein the storage drive include drive first kind memory first driving
With the second driving of driving Second Type memory, then passes through and judge whether storage drive load successfully may recognize that storage
Device type.In the present embodiment, the first kind memory is FRAM, Second Type memory is EERPOM.
After identifying type of memory, for the model for determining concentrator, it is also necessary to further determine that the capacity of memory.
Memory capacity algorithm implementation described in above-mentioned S3 is specific as follows:
S31, data are sequentially written in memory, every one data of write-in are that spy is written in the preceding m byte of active cell
Code is levied, this feature code value is equal to the serial number of presently written data, and one condition code of every write-in is since second unit
Execute read back operation；
Whether S32, the condition code for judging first unit readback condition code corresponding with serial number n are equal, if equal, deposit
The memory capacity x=K* (n-1) (bit) of reservoir, wherein K is the digit of a unit in memory, if it is not, then executing S33；
S33, data and character pair code are continued to write to, and executes read back operation, execute S32.
By the read-write theory of EERPOM and FRAM it is found that can be covered in original storage again and again when data store
Hold, in order to obtain the capacity of memory, it usually needs know the unit number of memory, the side indicated in the application using condition code
Formula realizes the purpose, namely reads when occurring first unit in the corresponding condition code of n-th of storing data and memory for the first time
When condition code out is equal, then it represents that the memory has n-1 unit.First of memory with 0 start, if memory with
Different condition codes is written in 4 bytes that each unit starts for a unit in 8kbit size, then has the position 0kbit (note
For position 1) write-in 0x55AA0001,0x55AA0002 is written the position 8kbit (being denoted as position 2), (is denoted as in the position 16kbit
Position 3) write-in 0x55AA0003, in other words, 0kbit-7kbit is first unit, the unit write-in characteristic code 1,8kbit-
15kbit is second unit, the unit write-in characteristic code 2, it is clear that the serial number of data of size and write-in of condition code is equal,
And so on, then the condition code of the corresponding write-in of nth data is 0x55AA0000+n.Since the 2nd position, every write-in one
Condition code, execute read back operation, if read first unit 1 the corresponding condition code of condition code=nth data, have with
Lower formula:
Memory capacity x=8 × (n-1) (kbit)
Memory capacity X is the memory capacity of memory.
Concentrator model can easily be determined using above-mentioned judgment method, and then load software corresponding with the concentrator type
Functional module, namely after determining according to the above method type and memory capacity of memory, just can finally determine concentrator
Model is then loaded the corresponding corresponding functional module of concentrator software according to the model of concentrator, is realized with this same set of soft
Part is general between the concentrator of different model, to lower software development cost, improve production efficiency, while tieing up convenient for software
Shield reduces maintenance cost.
Of course, it is possible to imagine, concentrator recognition methods of the present invention is applicable not only to FRAM and EERPOM type collection
Middle device, the concentrator that can also be applied to other models identify.
Other than above-mentioned improvement, other similar improvement are also contained in improvement threshold of the invention, are not just existed herein
It repeats.Although an embodiment of the present invention has been shown and described, it will be appreciated by those skilled in the art that: do not departing from the present invention
Principle and objective in the case where can to these embodiments carry out it is a variety of variation, modification, replacement and deformation, the scope of the present invention
It is defined by the claims and their equivalents.
Claims (10)
1. a kind of method for identifying different model concentrator, it is characterised in that: the method includes,
S1 initializes current concentrator software；
S2, the driving of load store device, recognition memory type；
S3 determines memory capacity using memory capacity recognizer；
S4 determines concentrator model.
2. method according to claim 1, it is characterised in that: load store device drives in the S2, recognition memory type,
Specifically,
The method of recognition memory type includes, if load first, which drives, successfully judges that the memory in current concentrator is
First kind memory, if load second drive successfully judge memory in current concentrator for Second Type memory,
Wherein, the storage drive includes driving the first of first kind memory to drive and drive the second of Second Type memory
Driving.
3. method according to claim 1, it is characterised in that: deposited in the step S3 using the determination of memory capacity recognizer
Reservoir capacity, specifically,
S31, data are sequentially written in memory, every one data of write-in i.e. by the preceding m byte write feature code of active cell,
This feature code value is equal to the serial number of presently written data, and every one condition code of write-in executes back since second unit
Read operation；
Whether S32, the condition code for judging first unit readback condition code corresponding with serial number n are equal, if equal, memory
Memory capacity x=K* (n-1) (bit), wherein K be memory in a unit digit, if it is not, then executing S33；
S33, data and character pair code are continued to write to, and executes read back operation, execute S32.
4. method according to claim 1, it is characterised in that: the method also includes also executing after executing the step S4
Following operation,
S5, load software function module corresponding with concentrator model；
S6 terminates concentrator identification.
5. method according to claim 3, it is characterised in that:
The K value is 8kbit.
6. method according to claim 3, it is characterised in that:
The m value is 4.
7. method according to claim 2, it is characterised in that:
The first memory is FRAM.
8. method according to claim 7, it is characterised in that:
The second memory is EERPOM.
9. method according to claim 8, it is characterised in that:
The model MB85RC64 or MB85RC128 that the FRAM is used；
The model M24512R or M24256R that the EERPOM is used.
10. method according to claim 2, it is characterised in that:
The concentrator first memory or second memory are connect by I2C mode with MCU in concentrator.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113571106A (en) * | 2021-07-21 | 2021-10-29 | 四川虹美智能科技有限公司 | Data reading method and device for electrified erasable programmable read-only memory |
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