CN101753245B - Method and device for identifying service - Google Patents

Abstract

The embodiment of the present invention discloses a service identification method and device. The method includes: comparing the Cn values obtained in multiple service frame periods within a preset statistical period, and determining the maximum Cn value and the minimum Cn value of the current service. Cn value; find whether there is a business record matching the maximum Cn value and the minimum Cn value of the current business in the preset Cn library; when there is a maximum Cn value of the current business in the preset Cn library When the service record matches the minimum Cn value, it is determined that the service type of the known service corresponding to the service record is the service type of the current service. By applying the technical solutions proposed by the embodiments of the present invention, accurate identification of service types is realized, and the effects of improving the accuracy of service identification and simplifying the process of service identification are achieved.

Description

A business identification method and device

technical field

The present invention relates to the field of communication technology, in particular to a service identification method and device.

Background technique

Optical transport network (Optical transport network, OTN) is the core technology of the next-generation transport network, including the technical specifications of the electrical layer and optical layer, with rich operation management and maintenance functions (Operation Administration and Maintenance, OAM), and powerful trellis coding and modulation capabilities (terlliscoded modulation, TCM) capability and out-of-band forward error correction (Forward Error Correction, FEC) capability, which can realize flexible scheduling and management of large-capacity services, and have increasingly become the mainstream technology of the backbone transport network.

In terms of customer service processing, OTN provides a variety of service mapping methods, including constant bit rate (Constant bit rate, CBR) service, generic framing protocol (Generic Frame Protocol, GFP) service, asynchronous transfer mode (Asynchronous Transfer Mode, ATM ) service access method. With the continuous growth of data services, the demand for full-rate transparent transmission on the optical transport network is also increasing. At present, the general mapping procedure (GMP) mapping method of the adaptive CBR service is well adapted to this requirement.

In the above-mentioned GMP mapping method, the number of Client information entities (n bits) per server frame (Cn) in each service frame period plays a vital role. How to accurately generate the initial value of Cn has become a problem of whether GMP can An important factor to be used well. At the same time, the types of services that use GMP mapping are also increasing, and it is very necessary to automatically identify the types of services without manual configuration.

Therefore, accurate generation of the initial value of Cn and automatic identification of business types have become practical problems to be solved by the GMP mapping method.

In the prior art, the initial value of Cn can be generated through double-sided counting, or the value of Cn can be controlled through the full threshold of the data buffer.

Among them, the process of generating the initial value of Cn through double-sided counting includes: periodically counting the number of service clock pulses by counter A on the service clock domain side, once the service frame period ends, collecting the count value of counter B on the client clock domain side, collecting The obtained value is the Cn value; the number of client clock pulses is periodically counted by the counter B on the client clock domain side, and once it is detected that the counting period of the counter A on the service clock domain side is over, the counter B starts a new round of counting.

The process of controlling the Cn value through the empty and full threshold of the data cache includes: setting the initial value of Cn according to the type of service to be transmitted; if the data cache is lower than the empty threshold, negatively adjusting the Cn value according to a certain step size, that is, Cn=Cn-step size ; If the data cache is higher than the full threshold, the value of Cn is positively adjusted according to a certain step size, that is, Cn=Cn+step size.

In the process of realizing the present invention, the inventor finds that there are at least the following problems in the prior art:

The generation of the Cn value is unreliable. Due to the improper method, errors in the collection or calculation of the Cn value may occur, resulting in wrong or unrecognizable services, and it relies heavily on manual setting operations. It is necessary to determine the Cn value by pre-configuring the service type. Automatic business identification cannot be realized.

Contents of the invention

Embodiments of the present invention provide a service identification method and device, which can accurately collect the Cn value of the current service, thereby automatically realizing accurate identification of the current service.

In order to achieve the above purpose, an embodiment of the present invention proposes a service identification method on the one hand, including:

Comparing the Cn values in multiple service frame periods acquired within a preset statistical period, determine the maximum Cn value and the minimum Cn value of the current service;

Find whether there is a business record matching the maximum Cn value and the minimum Cn value of the current business in the preset Cn library;

When there is a business record matching the maximum Cn value and the minimum Cn value of the current business in the preset Cn library, determine that the business type of the known business corresponding to the business record is the business of the current business type.

On the other hand, an embodiment of the present invention also proposes a service identification device, including:

The determination module is used to compare the Cn values in multiple service frame periods acquired within a preset statistical period, and determine the maximum Cn value and the minimum Cn value of the current service;

A search module, configured to find whether there is a service record matching the maximum Cn value and the minimum Cn value of the current service determined by the determination module in the preset Cn library;

A business identification module, configured to, when the search module finds a business record that matches the maximum Cn value and the minimum Cn value of the current business in the preset Cn library, according to the business type of the business record The information determines that the business type of the known business corresponding to the business record is the business type of the current business.

The technical solution of the embodiment of the present invention has the following advantages, because the method and device for searching the Cn library to identify the current business according to the collected Cn value are adopted, thereby realizing the accurate identification of the business type, improving the accuracy of business identification, simplifying the The effect of the business identification process.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings that need to be used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For Those of ordinary skill in the art can also obtain other drawings based on these drawings without making creative efforts.

FIG. 1 is a schematic flow diagram of a business identification method according to an embodiment of the present invention;

FIG. 2 is a schematic structural diagram of a service identification device according to Embodiment 2 of the present invention;

FIG. 3 is a schematic flowchart of a service identification method according to Embodiment 3 of the present invention;

FIG. 4 is a schematic flowchart of a method for generating a Cn value in Embodiment 3 of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

As shown in FIG. 1, it is a schematic flow diagram of a service identification method proposed in Embodiment 1 of the present invention. The method includes the following steps:

Step S101 , comparing the Cn values obtained in multiple service frame periods within a preset statistical period, and determining the maximum Cn value and the minimum Cn value of the current service.

Specifically, in this step, the acquisition of the Cn value in each service frame period is realized by double counting and three-way handshake on the service clock domain side and the client clock domain side, and the specific content is as follows:

The service clock domain side periodically counts the number of service clock pulses, and at the same time, the client clock domain side periodically counts the number of client clock pulses;

When the service clock domain side counts up to the service frame period, it generates an end request flag, starts the next round of counting, and completes the first handshake;

When the client clock domain side detects the end request flag generated by the service clock domain side, the count value is saved as the Cn value of the service frame period, and the next round of counting begins;

When the saved Cn value is stable, the client clock domain side generates a corresponding end response identifier for the end request identifier, and completes the second handshake;

When the service clock domain side detects the end response identifier generated by the client clock domain side for the end request identifier, obtain the Cn value of the service frame period generated by the client clock domain side;

The service clock domain side releases the end request flag to complete the third handshake.

When the client clock domain side detects the release end request identifier of the service clock domain, it releases the end response identifier.

It should be noted that the method for obtaining the Cn value in the service frame period realized by means of double counting and three-way handshake between the service clock domain side and the client clock domain side is only a preferred embodiment of the present invention, other The method that can realize the acquisition of the Cn value can also be used in this step, and such a change does not affect the protection scope of the present invention.

Step S102 , check whether there is a service record matching the maximum Cn value and the minimum Cn value of the current service in the preset Cn library.

Wherein, the preset Cn library includes multiple service records, and each service record at least includes the service type of the known service, the maximum Cn value of the known service, and the minimum Cn value of the known service.

It should be further explained that the specific calculation method of the above parameters is as follows:

The determination method of the maximum Cn value of the known business is:

$\mathrm{<span\; class="notranslate">\; Cn</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; max</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; int</span>}<span\; class="notranslate">\; (</span>\frac{\mathrm{<span\; class="notranslate">\; Rc</span>}<span\; class="notranslate">\; \&times;</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; PC</span>}<span\; class="notranslate">\; )</span>}{\mathrm{<span\; class="notranslate">\; Rs.</span>}<span\; class="notranslate">\; \&times;</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; PS</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 3808</span>}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; ;</span>$

The method for determining the minimum Cn value of known services is:

$\mathrm{<span\; class="notranslate">\; Cn</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; min</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; int</span>}<span\; class="notranslate">\; (</span>\frac{\mathrm{<span\; class="notranslate">\; Rc</span>}<span\; class="notranslate">\; \&times;</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; PC</span>}<span\; class="notranslate">\; )</span>}{\mathrm{<span\; class="notranslate">\; Rs.</span>}<span\; class="notranslate">\; \&times;</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; PS</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 3808</span>}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; ;</span>$

Wherein, Rc represents the bit rate of the client signal, Rs represents the bit rate of the service frame, Pc represents the frequency deviation of the client signal, and Ps represents the frequency deviation of the service frame signal.

Based on the above Cn library settings, the search process in this step is specifically:

Find whether there is a business record in the preset Cn library, the maximum Cn value of the known business included in the business record is greater than or equal to the maximum Cn value of the current business, and the minimum Cn value of the known business included in the business record Less than or equal to the minimum Cn value of the current service.

When there is a business record matching the maximum Cn value and the minimum Cn value of the current business in the preset Cn library, step S103 is executed;

When there is no service record matching the maximum Cn value and the minimum Cn value of the current service in the preset Cn library, step S104 is executed.

Further, after the search is completed, the operation content of this step also includes counting the actual query times of the current business.

Step S103, determining that the business type of the known business corresponding to the business record is the business type of the current business.

In this step, when the preset Cn library also includes the normal Cn value of the known business, the method also includes determining the initial Cn value of the current business according to the normal Cn value of the known business corresponding to the business record, wherein, The method for determining the normal Cn value of the known business is:

$\mathrm{<span\; class="notranslate">\; Cn</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; normal</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; int</span>}<span\; class="notranslate">\; (</span>\frac{\mathrm{<span\; class="notranslate">\; Rc</span>}}{\mathrm{<span\; class="notranslate">\; Rs.</span>}}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 3808</span>}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; ;</span>$

Among them, Rc represents the bit rate of the user signal, Rs represents the bit rate of the TS, and Pc represents the frequency offset of the client signal.

The specific way of determining is: initial value of Cn=Cn(normal).

Step S104, judging whether the actual query times of the current business is less than the maximum query times of the current business.

When the actual number of queries of the current business is less than the maximum number of queries of the current business, go to step S101, and perform the next round in the Cn library through the maximum Cn value and the minimum Cn value of the current business determined in the next preset statistical cycle find.

When the actual number of inquiries of the current service is not less than the maximum number of inquiries of the current service, it is determined that the service identification of the current service fails, and the service identification of the current service is terminated.

Further, when the actual number of queries of the current business is not less than the maximum number of queries of the current business, it can be confirmed that the current business is a new business different from other known services, so the above method can also include adding the information of the current business to Cn library, generating a new business record.

It should be further pointed out that the above-mentioned operation of adding the information of the current business into the Cn library and generating a new business record is a further optimization of the technical solution proposed in the embodiment of the present invention, which can realize the timely collection and processing of new business information. acquisition, but whether this step is included does not affect the protection scope of the present invention.

The technical solution of the embodiment of the present invention has the following advantages, because the method of searching the Cn library to identify the current business according to the Cn value collected in real time and after statistics is adopted, thereby realizing the accurate identification of the business type and improving the accuracy of business identification The effect of simplifying the business identification process.

Based on the method proposed in Embodiment 1 of the present invention above, Embodiment 2 of the present invention also proposes a service identification device, the structural diagram of which is shown in FIG. 2 , including:

The determination module 1 is used to compare the Cn values in multiple service frame periods acquired within a preset statistical period, and determine the maximum Cn value and the minimum Cn value of the current business, specifically including:

The Cn value acquisition sub-module 11 is used to acquire the Cn value in each service frame period. The specific acquisition method can be through the double counting and three-way handshake on the service clock domain side and the client clock domain side described in Embodiment 1 of the present invention It can also be realized in other ways, and the change of the specific acquisition method does not affect the protection scope of the present invention.

The search module 2 is used to find whether there is a business record matching the maximum Cn value and the minimum Cn value of the current business determined by the determination module 1 in the preset Cn storehouse, specifically including:

The counting sub-module 21 is used for counting the actual query times of the current business.

Business identification module 3, when searching module 3 finds the business record that matches the maximum Cn value and the minimum Cn value of current business in the preset Cn storehouse, determine the business record according to the business type information of the business record The business type corresponding to the known business is the business type of the current business, specifically including:

Judgment sub-module 31, for judging whether the actual number of inquiries of the current business counted by the counting sub-module 21 is less than the preset maximum number of inquiries of the current business;

The re-query triggering sub-module 32 is used to trigger the next preset statistics determined by the search module 2 through the determination module 1 when the judgment sub-module 31 judges that the actual number of queries of the current business is less than the preset maximum number of queries of the current business. The maximum Cn value and the minimum Cn value of the current business within the period are searched in the Cn library for the next round.

Further, the business identification module 3 also includes one or more of the following submodules, specifically:

Adding a submodule 33, used to add the information of the current business into the Cn storehouse when the judgment submodule 31 judges that the actual number of inquiries of the current business is not less than the preset maximum number of inquiries of the current business;

The initial value determination sub-module 34 is used to determine the value of the known business corresponding to the business record found by the search module 2 when the judgment sub-module 31 judges that the actual number of inquiries of the current business is less than the preset maximum number of inquiries of the current business. The normal Cn value is the initial value of Cn for the current service.

Further, the above-mentioned device also includes:

The setting module 4 is used to set the statistical period including multiple service frame periods, the maximum query times of the current business and the Cn library, and provide parameter basis for the above-mentioned modules.

The above-mentioned modules may be distributed in one device, or may be distributed in multiple devices. The above modules can be combined into one module, or can be further split into multiple sub-modules.

The technical solution of the embodiment of the present invention has the following advantages, because the device for searching the Cn library to identify the current business according to the Cn value collected in real time and after statistics is used, thereby realizing accurate identification of the business type and improving the accuracy of business identification The effect of simplifying the business identification process.

The above-mentioned technical solutions proposed by the embodiments of the present invention include two aspects of Cn initial value generation and service identification.

In the following, Embodiment 3 of the present invention will specifically describe the above content in combination with specific implementation scenarios.

In this embodiment, at first, the Cn value of each service frame period is accurately obtained by using the double-sided counting and three-way handshake mechanism, and the Cn maximum value Cn(max) and the Cn minimum value Cn(min) are obtained through statistics for a certain period of time. Then match the generated Cn(max) and Cn(min) with the records in the Cn database to obtain the initial value of Cn and the business type.

Its flow diagram is shown in Figure 3, including the following steps:

Step S301. Determine the statistical period T and the matching times M, and set the initial value of the actual matching times M' to 0.

The statistical period T includes n service frame periods, that is, the statistical period T=n*service frame period.

Among them, the value of n needs to be set, and the value of n should be configured as at least 1; service frame period = service frame size/service frame rate, and the service frame rate is not limited to the rate of a specific service frame, and can be any TS rate.

For convenience of description, in the present embodiment, with TS (tributary unit, Clause19 has defined OPUk TS in G.709 recommendation) rate as service frame rate, service frame size remains unchanged,

Then the service frame period becomes the service frame size/TS rate. For the OTN network defined by the current standard, OPU1 is used as the smallest TS, OPU2 is divided into 4 time slots (TS1, TS2, TS3, TS4), and OPU3 is divided into 16 time slots (TS1, TS2, ..., TS16) . In this way, for the bearer unit ODUk (k is 1, 2, 3), selecting the TS rate unifies the frequency selection in the implementation, that is, using the TS time slot frequency in the implementation, the service frame period is 15232/TS rate.

It should be pointed out that the selection of TS is not limited to OPU1, and parameters that can achieve the same technical effect, such as any TS time slot or the minimum crossover granularity, can also be used to implement the above steps.

Further, determine the number of matching times M, that is, by configuring the M value, it is determined that a maximum of M subsequent Cn library matchings will be performed, and the M value is configured to be at least 1.

Step S302, count the Cn value, and determine the maximum Cn value and the minimum Cn value of the current service.

The Cn value statistical period T includes n service frame periods, and each service frame period will generate a Cn value. In this embodiment, the Cn value generation method preferably adopts double counting and counting at the service clock domain side and the client clock domain side. The three-way handshake is implemented, and Figure 4 is a schematic flow chart of it.

As shown in Figure 4, the service clock domain is on the right side of the dotted line, and the customer clock domain is on the left side of the dotted line.

In this process, the counter A in the service clock domain and the counter B in the client clock domain periodically count their respective clock pulses in their respective clock domains to ensure that the count is correct, and complete the acquisition of the Cn value in one service frame period through three-way handshake And transfer of Cn values across clock domains.

Among them, the process of the three-way handshake is specifically: one handshake, obtain the Cn value; two handshakes, transfer the Cn value; three handshakes, end this generation of Cn value, the specific description is as follows:

Step S401, the counter A on the service clock domain side periodically counts the number of service clock pulses.

When the counter A on the side of the service clock domain detects a service clock pulse, it adds 1 to the count value of the number of service clock pulses.

Step S402 , when the counter A on the service clock domain side counts up to the service frame period, an end request flag is triggered.

Specifically, in this embodiment, the specific triggering method is to set the flag position of the end request flag at a high level to implement the first handshake.

Step S403, the client clock domain side counter B periodically counts the number of client clock pulses.

When the client clock domain side counter B detects a client clock pulse, it adds 1 to the count value of the client clock pulse number.

Step S404, when the client clock domain side detects that the end request flag has changed to a high level, save the count value of the counter B as the Cn value and start a new round of cycle counting.

Step S405, after the client clock domain side waits for the stored Cn value to be stable, trigger an end response flag.

Specifically, in this embodiment, the specific triggering method is to set the flag position of the end response flag at a high level to implement the second handshake.

Step S406, when the service clock domain side detects that the end response flag has changed to a high level, collect the Cn value saved by the client clock domain side.

At the same time, the end request flag is released, and its flag position is set to low level to realize the third handshake;

When the client clock domain side detects that the end request flag has changed to a low level, it releases the end response flag and sets its identification position as a low level.

So far, the generation of the Cn value for one service frame period ends.

Within a statistical period T, further statistics are performed on the generated n Cn values.

By comparison, the maximum Cn value Cn(max) and the minimum Cn value Cn(min) are obtained.

Step S303, searching the Cn library according to the maximum Cn value and the minimum Cn value, and judging whether there is a service record matching the current service in the Cn library.

Cn (max), Cn (normal), and Cn (min) of the currently known services under the service frame period (in this embodiment, the service frame rate is specifically the TS rate) are recorded in the Cn library. The Cn value under the cycle is unique, and there is no crossing of Cn(max), Cn(normal), and Cn(min) for multiple services. At the same time, the Cn library can be continuously updated with the growth of business types.

Next, the construction method of the Cn library is explained as follows:

(1), consisting of multiple records;

(2) Each record can be in the form of a quintuple, namely {service type, X-TS, Cn(max), Cn(normal), Cn(min)}, where X-TS means that the service needs to occupy X TS time slot bandwidth;

Taking TS=1.3Gbits/s as an example here, some common services are calculated, and the constructed Cn library is shown in Table 1.

The Cn(max), Cn(min), and Cn(normal) of each record in the Cn library are calculated by the following formula.

$\mathrm{<span\; class="notranslate">\; Cn</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; max</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; int</span>}<span\; class="notranslate">\; (</span>\frac{\mathrm{<span\; class="notranslate">\; Rc</span>}<span\; class="notranslate">\; \&times;</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; PC</span>}<span\; class="notranslate">\; )</span>}{\mathrm{<span\; class="notranslate">\; Rs.</span>}<span\; class="notranslate">\; \&times;</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; PS</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 3808</span>}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 1</span>}$

$\mathrm{<span\; class="notranslate">\; Cn</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; normal</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; int</span>}<span\; class="notranslate">\; (</span>\frac{\mathrm{<span\; class="notranslate">\; Rc</span>}}{\mathrm{<span\; class="notranslate">\; Rs.</span>}}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 3808</span>}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; )</span>$

$\mathrm{<span\; class="notranslate">\; Cn</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; min</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; int</span>}<span\; class="notranslate">\; (</span>\frac{\mathrm{<span\; class="notranslate">\; Rc</span>}<span\; class="notranslate">\; \&times;</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; PC</span>}<span\; class="notranslate">\; )</span>}{\mathrm{<span\; class="notranslate">\; Rs.</span>}<span\; class="notranslate">\; \&times;</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; PS</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 3808</span>}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; )</span>$

Wherein, Rc represents the bit rate of the client signal, Rs represents the bit rate of the TS, Pc represents the frequency deviation of the client signal, and Ps represents the frequency deviation of the TS signal.

Table 1 Cn library

Client Channel Cn(min) Cn(normal) Cn(max) STM-16 2-TS 29154 29155 29157 STM-64 8-TS 116617 116621 116627 STM-256 32-TS 466468 466487 466506 1GE TS 14644 14646 14648 10GE 4-TS 120816 120830 120846 40GE 32-TS 483265 483323 483382 100GE 80-TS 1208162 1208307 1208453 FC-1G TS 12477 12478 12481

FC-2G 2-TS 24895 24898 24902 FC-4G 4-TS 49790 49796 49803 FC-8G 7-TS 99581 99593 99606 FC-10G 8-TS 123247 123262 123277 SD-SDI TS 3163 3163 3164 1.5G HD-SD 2-TS 17399 17399 17401 3G HD-SD 3-TS 34798 34799 34801

It should be pointed out that the construction method of the Cn library is not limited to the above-mentioned quintuple form, and any useful information can be added and the order of the above-mentioned information can be adjusted according to actual needs.

The specific process of searching the Cn library and judging whether there is a business record matching the current business in the Cn library is as follows:

Add 1 to the actual matching times M', and start the M'th Cn library matching, that is, to match the statistics of Cn(max), Cn(min) with the records in the Cn library.

The specific matching principle is: find out whether there is a business record in the Cn database, the business record corresponds to information of a known business, the maximum Cn value of the known business is greater than or equal to the maximum Cn value of the current business, and the known The minimum Cn value of the service is less than or equal to the minimum Cn value of the current service.

即Cn库中存在与当前业务相匹配的业务记录时，则执行步骤S304；when

That is, when there is a business record matching the current business in the Cn library, step S304 is executed;

when That is, when there is no service record matching the current service in the Cn database, step S305 is executed.

Step S304, confirming that the service type of the matched service is the service type of the current service.

Confirm that the initial value of Cn is Cn(normal)/X in the record, and the business identification process ends successfully.

It should be further pointed out that the initial value of Cn can be obtained not only by successfully matching the Cn library, but also by recording n Cn values generated within the statistical Cn period T and calculating their average value. Such changes also belong to protection scope of the present invention.

Step S305, judging whether the actual number of matching times M' reaches the number of matching times M.

When the actual number of matching times M' reaches the configuration value of the number of matching times M, the service identification process fails and ends.

When the actual number of matching times M' does not reach the configuration value of the number of matching times M, execute step S302 to start a new round of statistical Cn and Cn library matching processing.

Further, when the actual matching times M' reaches the configuration value of the matching times M, but there is still no matching success, it proves that the business is a new business type, and the new business type can be added to the Cn library for updating.

The technical solution of the embodiment of the present invention has the following advantages, because the device for searching the Cn library to identify the current business according to the collected Cn value is adopted, thereby realizing the accurate identification of the business type and the generation of the initial value of Cn, and achieving the improvement of business identification and the accuracy of the initial value of Cn, and the effect of simplifying the business identification process.

Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be realized by hardware, or by means of software plus a necessary general-purpose hardware platform. Based on this understanding, the technical solution of the present invention It can be embodied in the form of software products, which can be stored in a non-volatile storage medium (which can be CD-ROM, U disk, mobile hard disk, etc.), and include several instructions to make a computer device (which can be It is a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments of the present invention.

Those skilled in the art can understand that the drawing is only a schematic diagram of a preferred embodiment, and the modules or processes in the drawing are not necessarily necessary for implementing the present invention.

The above is only a preferred embodiment of the present invention, it should be pointed out that, for those of ordinary skill in the art, without departing from the principle of the present invention, some improvements and modifications can also be made, and these improvements and modifications can also be made. It should be regarded as the protection scope of the present invention.

Claims (12)

1. A business identification method, characterized in that, comprising the following steps: Comparing the Cn values of the number of customer entities in multiple service frame periods acquired within a preset statistical period, to determine the maximum Cn value and the minimum Cn value of the current business; Find whether there is a service record matching the maximum Cn value and the minimum Cn value of the current service in the preset Cn storehouse; the preset Cn storehouse includes multiple service records, and each service record includes at least known The business type of the business, the maximum Cn value of the known business and the minimum Cn value of the known business; When there is a business record matching the maximum Cn value and the minimum Cn value of the current business in the preset Cn library, determine that the business type of the known business corresponding to the business record is the business of the current business type; Whether there is a business record matching the maximum Cn value and the minimum Cn value of the current business in the preset Cn storehouse of the search, specifically: Find whether there is a business record in the preset Cn library, the maximum Cn value of the known business included in the business record is greater than or equal to the maximum Cn value of the current business, and the minimum Cn value of the known business included in the business record is The Cn value is less than or equal to the minimum Cn value of the current service. 2. The method according to claim 1, wherein the acquisition method of the Cn value in each said service frame period is specifically: The service clock domain side counts the number of service clock pulses; When the count reaches the service frame period, the service clock domain side generates an end request flag and starts the next round of counting; When the service clock domain side detects the end response identifier generated by the client clock domain side for the end request identifier, acquire the Cn value of the service frame period generated by the client clock domain side; The serving clock domain side releases the end request identifier. 3. The method according to claim 2, wherein the Cn value generated by the client clock domain side is specifically generated in the following manner: The client clock domain side counts the number of client clock pulses; When the client clock domain side detects the end request identifier generated by the service clock domain side, Save the count value as the Cn value of the service frame period, and start the next round of counting; After saving the count value as the Cn value of the service frame period, the client clock domain side generates an end response identifier for the end request identifier; When the client clock domain side detects that the serving clock domain side releases the end request identifier, it releases the end response identifier. 4. The method according to claim 1, wherein the determination method of the maximum Cn value of the known service is: $\mathrm{<span\; class="notranslate">\; Cn</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; max</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; int</span>}<span\; class="notranslate">\; (</span>\frac{\mathrm{<span\; class="notranslate">\; Rc</span>}<span\; class="notranslate">\; \&times;</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; PC</span>}<span\; class="notranslate">\; )</span>}{\mathrm{<span\; class="notranslate">\; Rs.</span>}<span\; class="notranslate">\; \&times;</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; PS</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 3808</span>}<span\; class="notranslate">\; \&times;</span><span\; class="notranslate">\; )</span><span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; ;</span>$ The method for determining the minimum Cn value of the known business is: $\mathrm{<span\; class="notranslate">\; Cn</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; min</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; int</span>}<span\; class="notranslate">\; (</span>\frac{\mathrm{<span\; class="notranslate">\; Rc</span>}<span\; class="notranslate">\; \&times;</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; PC</span>}<span\; class="notranslate">\; )</span>}{\mathrm{<span\; class="notranslate">\; Rs.</span>}<span\; class="notranslate">\; \&times;</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; PS</span>}<span\; class="notranslate">\; )</span>}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 3808</span>}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; ;</span>$ Among them, Rc represents the bit rate of the client signal, Rs represents the bit rate of the service frame; Pc represents the frequency deviation of the client signal, and Ps represents the frequency deviation of the service frame signal. 5. The method according to claim 1 or 4, wherein when there is a service record matching the maximum Cn value and the minimum Cn value of the current service in the preset Cn library, and the preset When also including the normal Cn value of described known business in the Cn storehouse of setting, also include: Determine the Cn initial value of the current business by the normal Cn value of the known business included in the business record, the method for determining the normal Cn value of the known business is: $\mathrm{<span\; class="notranslate">\; Cn</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; normal</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; int</span>}<span\; class="notranslate">\; (</span>\frac{\mathrm{<span\; class="notranslate">\; Rc</span>}}{\mathrm{<span\; class="notranslate">\; Rs.</span>}}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 3808</span>}<span\; class="notranslate">\; \&times;</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; )</span>$ Wherein, Rc represents the bit rate of the client signal, Rs represents the bit rate of the tributary unit TS; Pc represents the frequency offset of the client signal. 6. The method according to claim 1, wherein when there is no business record matching the maximum Cn value and the minimum Cn value of the current business in the preset Cn storehouse, the method further includes include: judging whether the actual number of queries of the current business is less than the preset maximum number of queries; When the actual number of queries of the current business is less than the preset maximum number of queries, the maximum Cn value and the minimum Cn value of the current business determined in the next preset statistical period are in the Cn library carry out the next round of search; When the actual number of queries of the current service is not less than the preset maximum number of queries, it is determined that the service identification of the current service has failed, and the service identification of the current service is terminated. 7. A service identification device, characterized in that it comprises: A determination module, configured to compare the number of customer entities Cn values in multiple service frame periods acquired within a preset statistical period, to determine the maximum Cn value and the minimum Cn value of the current business; The search module is used to find whether there is a business record matching the maximum Cn value and the minimum Cn value of the current business determined by the determination module in the preset Cn library, specifically: to find whether there is a preset Cn library A business record, the maximum Cn value of the known business included in the business record is greater than or equal to the maximum Cn value of the current business, and the minimum Cn value of the known business included in the business record is less than or equal to the current business The minimum Cn value; the preset Cn library includes a plurality of business records, each business record includes at least the business type of the known business, the maximum Cn value of the known business and the minimum Cn value of the known business value; A business identification module, configured to, when the search module finds a business record that matches the maximum Cn value and the minimum Cn value of the current business in the preset Cn library, according to the business type of the business record The information determines that the business type of the known business corresponding to the business record is the business type of the current business. 8. The device of claim 7, further comprising: A setting module, configured to set the statistical period including multiple service frame periods, the maximum query times of the current business and the Cn library. 9. The device according to claim 7, wherein the determining module further comprises: The Cn value obtaining submodule is used to obtain the Cn value in each service frame period. 10. The device according to claim 7, wherein the search module further comprises: The counting sub-module is used for counting the actual query times of the current business. 11. The device according to claim 7, 8 or 10, wherein the service identification module further comprises: A judging submodule, configured to judge whether the actual number of inquiries of the current business counted by the counting submodule is less than the maximum number of inquiries of the current business set by the setting module; The re-query triggering submodule is used to trigger the search module determined by the determination module when the judgment submodule judges that the actual number of queries of the current business is less than the maximum number of queries of the current business set by the setting module. The maximum Cn value and the minimum Cn value of the current service within the next preset statistical period are searched in the Cn database for the next round. 12. The device according to claim 11, wherein the service identification module further comprises: The initial value determination submodule is used to determine the corresponding value of the business record found by the search module when the judgment submodule judges that the actual query times of the current business is less than the maximum query times of the current business set by the setting module. The normal Cn value of the known service is the initial Cn value of the current service.

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