JPH06315077A - Data communication equipment - Google Patents

Abstract

PURPOSE:To obtain data communication equipment in which an error due to low modem sending level or low reception sensitivity or the erroneous adjustment of a modem rate can be prevented from occurring and communication quality can be improved and a communication cost can be reduced by automatically adjusting the modem outgoing level or the reception sensitivity by fuzzy inference letting the modem sending level or the reception sensitivity and error information be input parameters. CONSTITUTION:An outgoing level L of a signal outputted from a modem 18 is detected by a level detecting part 21, and also, the generating rate ER of a page received erroneously by the other machine party when data is transmitted in the unit of page is calculated by an error information calculation part 22, and the outgoing level L and the error information ER are inputted to a fuzzy inference part 23, and the respective output components can be found by applying them to fuzzy rules (1)-(5). The respective output components are synthesized, and its value of the center of gravity is calculated. A level adjusting part 24 automatically adjusts the outgoing level L according to the value of the center of gravity.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a data communication apparatus for performing communication using a modem, such as a facsimile apparatus, and more particularly to a data communication apparatus for performing modem control to reduce an error occurrence rate.

[0002]

2. Description of the Related Art Conventionally, a facsimile apparatus for transmitting and receiving image information has been widely used as one of data communication apparatuses. This facsimile apparatus is equipped with a modem for modulating and demodulating image information (communication data). Here, the facsimile device (main control device) controls the modem to set the optimum modem rate for communicating the image information with a low error and at the highest possible speed. In this case, first the maximum modem rate (eg 96
Modem training with the partner machine at 00 bps). If this fails, the modem training is repeated while sequentially shifting down the modem rate. Then, finally, the modem rate that can be used with the partner is set. The setting of such a modem rate depends on the state of the line with the partner device, and normally, when the line state is good, a high modem rate is set.

As a conventional facsimile apparatus of this type, for example, Japanese Patent Laid-Open No. 60-137169 and Japanese Patent Laid-Open No. 6-137169.
2-285575 and the like,
Various proposals have been made in which the modem rate set as described above is stored and the modem rate is read at the next transmission to reduce the time required for training.

[0004]

However, in a data communication apparatus typified by such a facsimile apparatus, the modem rate is adjusted with a focus on the communication speed, but the data is output from the modem. The transmission level of the signal to be transmitted is not taken into consideration, and the same transmission level was set for all the destinations. Therefore, even if the signal level actually reaching the receiving side is too low and communication errors occur frequently, such as when the line condition is bad due to overseas communication etc., it can only be dealt with by lowering the modem rate. As a result, there was a problem that the communication time became long.
In order to solve such a problem, there has been proposed a device in which the transmission level for each destination can be individually set in correspondence with one-touch / speed dial, but for this purpose, a serviceman changes the parameter. Must be
In addition, we could not respond to changes in the line conditions.

Therefore, the invention according to claim 1 is caused by the low modem transmission level by automatically adjusting the modem transmission level for each destination by fuzzy inference using the modem transmission level and error information as input parameters. It is an object of the present invention to provide a data communication device capable of preventing the occurrence of an error and a modem rate adjustment error and improving the communication quality and reducing the communication cost.

According to the second aspect of the invention, the modem transmission level is automatically adjusted for each destination by fuzzy inference using the error frame ratio as error information.
It is an object of the present invention to provide a data communication device capable of preventing an error due to a low modem transmission level and an error in adjusting a modem rate, improving communication quality and reducing communication cost.

Further, according to the third aspect of the invention, an error caused by a low modem transmission level is automatically adjusted by automatically adjusting the modem transmission level for each destination by fuzzy inference using an amount of change in error information as an input parameter. It is an object of the present invention to provide a data communication device capable of preventing the occurrence of communication error and the adjustment error of the modem rate and improving the communication quality and reducing the communication cost.

According to a fourth aspect of the present invention, the modem transmission level is automatically adjusted for each destination by fuzzy inference using the reception level of the signal transmitted from the destination device as an input parameter. Error caused by the error and the adjustment error of the modem rate are prevented,
It is an object of the present invention to provide a data communication device capable of improving communication quality and reducing communication cost.

According to the fifth aspect of the present invention, the modem transmission level is automatically adjusted for each destination by fuzzy inference using the echo level of the signal transmitted by itself as an input parameter, thereby lowering the modem transmission level. It is an object of the present invention to provide a data communication device capable of preventing the occurrence of an error caused by the error and the adjustment error of the modem rate and improving the communication quality and reducing the communication cost.

Further, the invention according to claim 6 is caused by the low modem transmission level by automatically adjusting the modem transmission level for each destination by fuzzy inference using the level difference before and after the level adjustment as an input parameter. It is an object of the present invention to provide a data communication device capable of preventing the occurrence of an error and a modem rate adjustment error and improving the communication quality and reducing the communication cost.

Further, the invention according to claim 7 is based on claim 1
By automatically adjusting the modem transmission level for each destination by fuzzy inference combining the various input parameters described up to 6, it is possible to prevent the occurrence of errors due to the low modem transmission level and misadjustment of the modem rate. An object of the present invention is to provide a data communication device capable of improving communication quality and reducing communication cost.

Further, according to the invention of claim 8, the sending level automatically adjusted to a proper value by fuzzy inference is stored for each destination and used for communication from the next time, so that the adjustment value is set every time communication is repeated. It is an object of the present invention to provide a data communication device that can be reused and can speed up the convergence of automatic adjustment. Further, in a data communication device typified by such a facsimile device, the reception sensitivity of the modem is fixed and used for all receptions. Therefore, even if the signal level actually reaching the receiving side is too low and communication errors occur frequently, such as when the line condition is bad due to overseas communication etc., it can only be dealt with by lowering the modem rate. As a result, there was a problem that the communication time became long. In order to solve such a problem, a device has been proposed in which the receiving sensitivity for each destination can be individually set in correspondence with one-touch / speed dial, but for this purpose, a serviceman changes the parameter. I had to do that, and I couldn't cope with changes in the line conditions.

Therefore, according to the invention of claim 9, the reception sensitivity is lowered by automatically adjusting the modem reception sensitivity for each destination by fuzzy inference using the gain value of the signal amplification section and the reception sensitivity as input parameters. It is an object of the present invention to provide a data communication device capable of preventing the occurrence of an error and the adjustment error of the modem rate and improving the communication quality and reducing the communication cost.

According to a tenth aspect of the present invention, the modem reception sensitivity is automatically adjusted for each partner by fuzzy inference using the amount of change in the gain value of the signal amplification unit as an input parameter, so that the modem reception sensitivity is low. It is an object of the present invention to provide a data communication device capable of preventing the occurrence of an error caused by the error and the adjustment error of the modem rate and improving the communication quality and reducing the communication cost.

Further, the invention according to claim 11 is caused by the low modem reception sensitivity by automatically adjusting the modem reception sensitivity for each destination by fuzzy inference using the error rate in page units as error information. The occurrence of an error,
It is an object of the present invention to provide a data communication device capable of preventing an adjustment error of a modem rate, improving communication quality and reducing communication cost.

Further, the invention according to claim 12 is caused by the low modem reception sensitivity by automatically adjusting the modem reception sensitivity for each partner by fuzzy inference using the ratio of the reception error to the training signal as error information. It is an object of the present invention to provide a data communication device capable of preventing the occurrence of an error that may occur and an error in adjusting the modem rate and improving the communication quality and reducing the communication cost.

According to the thirteenth aspect of the present invention, by automatically adjusting the modem reception sensitivity for each destination by fuzzy inference using the error line ratio as error information, the error caused by the low modem reception sensitivity can be eliminated. It is an object of the present invention to provide a data communication device capable of preventing the occurrence of an error and a modem rate adjustment error and improving the communication quality and reducing the communication cost.

According to a fourteenth aspect of the present invention, the modem reception sensitivity is automatically adjusted for each destination by fuzzy inference using a ratio of error frames as error information.
It is an object of the present invention to provide a data communication device capable of preventing an error due to a low modem reception sensitivity and an error in adjusting a modem rate, improving communication quality and reducing communication cost.

According to the fifteenth aspect of the present invention, the modem reception sensitivity automatically adjusted to an appropriate value by fuzzy inference is stored for each destination and used for the communication from the next time, so that the adjustment value is adjusted each time communication is repeated. It is an object of the present invention to provide a data communication device capable of reusing data and speeding up the convergence of automatic adjustment. The invention according to claim 16 is
By storing the modem reception sensitivity automatically adjusted to an appropriate value by fuzzy reasoning for each destination country and using it for the next communication, the adjusted value can be reused every time communication is repeated,
An object of the present invention is to provide a data communication device that can speed up the convergence of automatic adjustment.

[0020]

The invention according to claim 1 is
In order to achieve the above object, in a data communication device including a communication control unit that controls data communication according to a predetermined protocol, and a modem that modulates and demodulates this communication data,
A level detection unit that detects the transmission level of the signal output from the modem, and an error that calculates the occurrence rate of received pages as error information based on the response from the other device when data is transmitted in page units An information calculation unit,
, The output level and error information are input to apply a plurality of fuzzy rules to obtain respective output components, these output components are combined, and a fuzzy inference unit that calculates the center-of-gravity value is calculated. And a level adjusting unit that automatically adjusts the transmission level according to the center of gravity value.

Further, in order to achieve the above object, the invention according to claim 2 is the data communication apparatus according to claim 1, wherein the error information calculation unit is configured to transmit one page of data in frame units. It is characterized in that the ratio of the frames received in error is calculated as error information based on the response from the partner device. Further, in order to achieve the above object, the invention according to claim 3 is the data communication apparatus according to claim 1 or 2, wherein an error change amount calculation for calculating a change amount of error information before and after the level adjustment by the level adjustment unit is performed. It is characterized in that a unit is provided, and this change amount is replaced with error information, which is one of the input parameters of the fuzzy inference unit, or added as one of the input parameters.

Further, in order to achieve the above object, the invention according to claim 4 is a data communication apparatus according to claim 1 or 2, wherein a reception signal level detection for detecting a reception level of a signal transmitted from a partner device. A unit is provided, and the received signal level is replaced with error information which is one of the input parameters of the fuzzy inference unit, or added as one of the input parameters.

Further, in order to achieve the above object, the invention according to claim 5 is the data communication apparatus according to claim 1 or 2, further comprising an echo level detecting section for detecting an echo level of a signal transmitted from the device itself. It is characterized in that the echo level is provided and replaced with error information, which is one of the input parameters of the fuzzy inference unit, or added as one of the input parameters.

Further, in order to achieve the above object, the invention according to claim 6 is a data communication apparatus according to claim 1 or 2, wherein a level for calculating a change amount of a transmission level before and after a level adjustment by a level adjusting section is calculated. Provide a change amount calculation unit,
It is characterized in that the level change amount is replaced with error information which is one of the input parameters of the fuzzy inference unit, or added as one of the input parameters.

In order to achieve the above object, the invention according to claim 7 is characterized in that fuzzy inference is performed by arbitrarily combining the input parameters of the fuzzy inference parts described in claims 1 to 6. . Further, in order to achieve the above-mentioned object, the invention according to claim 8 corresponds to the telephone number of the partner device, in the data communication device according to any one of claims 1 to 7, wherein the final transmission level by the level adjusting unit corresponds to the telephone number of the partner device. It is characterized in that it is provided with a storage unit for storing the same and a transmission level initial value setting unit for setting the stored transmission level as an initial value of the modem at the time of subsequent communication with the partner device.

In order to achieve the above-mentioned object, the invention according to claim 9 is a data communication apparatus comprising a communication control section for controlling data communication according to a predetermined protocol, and a modem for modulating / demodulating this communication data. A signal amplification unit that amplifies a signal input via a communication line as desired,
A gain detection unit that detects a gain value related to amplification of the signal amplification unit, a storage unit that stores the reception sensitivity set in the modem, a reception sensitivity that is stored in the storage unit, and a gain detection unit that detects the reception sensitivity. Applying the gain value as an input to multiple fuzzy rules to obtain each output component, combining these output components, and then calculating the centroid value of the fuzzy inference unit, and the received sensitivity according to the calculated centroid value. And a reception sensitivity adjusting unit for automatically adjusting the.

In order to achieve the above-mentioned object, the invention according to claim 10 is the data communication apparatus according to claim 9, wherein a gain change amount for calculating the change amount of the gain value detected by the gain detection unit is calculated. A calculation unit is provided, and the amount of change is replaced with a gain value that is one of the input parameters of the fuzzy inference unit, or added as one of the input parameters.

Further, in order to achieve the above-mentioned object, the invention according to claim 11 is the data communication apparatus according to claim 9, wherein when data is received in page units, an error occurs in the occurrence rate of the received page. An error information calculation unit that calculates as information, and replaces this change amount with a gain value that is one of the input parameters of the fuzzy inference unit,
Alternatively, it is characterized in that it is added as one of the input parameters.

Further, in order to achieve the above-mentioned object, the invention of claim 12 is the data communication apparatus according to claim 11, wherein the occurrence rate of the reception error of the training signal transmitted from the partner machine within a specific time is set. An error information calculation unit for calculating as error information is provided, and the amount of change is replaced with a gain value which is one of the input parameters of the fuzzy inference unit, or added as one of the input parameters.

Further, in order to achieve the above-mentioned object, the invention according to a thirteenth aspect is such that, in the data communication apparatus according to the eleventh aspect, the image data signals of a plurality of lines transmitted from the partner machine are received and received. An error information calculation unit for calculating the error line occurrence rate as error information is provided, and this change amount is replaced with a gain value which is one of the input parameters of the fuzzy inference unit, or the input parameter is set to 1
It is characterized by adding as one.

Further, in order to achieve the above-mentioned object, the invention according to a fourteenth aspect is such that, in the data communication apparatus according to the eleventh aspect, when one page of data transmitted from the partner device is received in frame units. An error information calculation unit that calculates the ratio of error-received frames as error information,
Is provided, and this change amount is replaced with a gain value which is one of the input parameters of the fuzzy inference unit, or is added as one of the input parameters.

Further, in order to achieve the above-mentioned object, the invention according to claim 15 is the data communication apparatus according to any one of claims 9 to 14, wherein the final receiving sensitivity by the receiving sensitivity adjusting section is set to the value of the other device. The present invention is characterized by including a storage unit that stores a telephone number in association with each other, and a reception sensitivity initial value setting unit that sets the stored reception sensitivity as an initial value of a modem at the time of subsequent communication with the partner device. .

Further, in order to achieve the above object, the invention according to claim 16 is the data communication device according to any one of claims 9 to 14, wherein the final reception sensitivity by the reception sensitivity adjusting section is set to the value of the other device. The present invention is characterized by comprising a storage unit that stores the received sensitivity in association with a country code, and a reception sensitivity initial value setting unit that sets the stored reception sensitivity as an initial value of the modem during subsequent communication with the country.

[0034]

According to the present invention having the above-mentioned structure, the level detection unit detects the transmission level of the signal output from the modem, and based on the response from the partner machine when the data is transmitted in page units. The error information calculating unit calculates the occurrence rate of error-received pages as error information, inputs the transmission level and the error information to a fuzzy inference unit, applies a plurality of fuzzy rules to obtain respective output components, and After synthesizing the output components of, the center of gravity value is calculated, and the level adjusting unit automatically adjusts the transmission level according to the center of gravity value.

Further, in the invention according to claim 2 having the above-mentioned configuration, when the data for one page is transmitted in frame units, the error information calculation unit receives an error based on the response from the partner device. The ratio of frames is calculated as error information, and fuzzy inference is performed by inputting the transmission level and error information. Further, in the invention according to claim 3 having the above configuration, the change amount of the error information before and after the level adjustment by the level adjusting unit is calculated by the error change amount calculating unit, and this change amount is set as one of the input parameters of the fuzzy inference unit. Fuzzy inference is performed by replacing the error information, which is one of the input parameters, or by adding it as one of the input parameters.

Further, according to the invention having the above-mentioned structure, the reception level of the signal transmitted from the partner device is detected by the reception signal level detection unit, and this reception signal level is set as the input parameter of the fuzzy inference unit. Fuzzy inference is performed by replacing with one error information or by adding it as one of the input parameters. Further, in the invention of claim 5 having the above-mentioned configuration, the echo level of the signal transmitted by the device itself is detected by the echo level detection unit,
Fuzzy inference is performed by replacing the echo level with error information which is one of the input parameters of the fuzzy inference unit or by adding it as one of the input parameters.

Further, in the invention according to claim 6 having the above structure, the level change amount calculation unit calculates the change amount of the transmission level before and after the level adjustment by the level adjustment unit,
This level change amount is replaced with error information which is one of the input parameters of the fuzzy inference unit, or is added as one of the input parameters to perform fuzzy inference. Also,
In the invention of claim 7 having the above configuration, fuzzy inference is performed by arbitrarily combining the input parameters of the fuzzy inference parts described in claims 1 to 6.

Further, in the invention having the above-mentioned structure, the storage unit for storing the final transmission level of the level adjusting unit in association with the telephone number of the partner machine is provided and stored in this storage unit. The subsequent transmission level is read by the transmission level initial value setting unit and set as the initial value of the modem at the time of subsequent communication with the partner device. Further, in the invention having the above structure, the signal inputted to the modem is amplified by the signal amplifying unit, the gain value is detected by the gain detecting unit, and the current modem stored in the storing unit is used. Read the set receiving sensitivity, input the gain value and receiving sensitivity to the fuzzy inference unit, apply multiple fuzzy rules to obtain each output component,
After combining these output components, the center of gravity value is calculated, and the reception sensitivity adjusting unit automatically adjusts the reception sensitivity of the modem according to the center of gravity value.

Further, in the invention having the above-mentioned structure, the change amount of the gain value before and after the reception sensitivity adjustment by the reception sensitivity adjusting unit is calculated by the gain change amount calculating unit, and the change amount is fuzzy inference unit. Input parameter 1
Fuzzy inference is performed by replacing the gain value, which is one of the two, or by adding it as one of the input parameters. Further, in the invention having the above-mentioned configuration, when the data for one page is received, the error information calculation unit calculates the ratio of error reception based on the data from the modem as the error information. , The change amount is replaced with a gain value which is one of the input parameters of the fuzzy inference unit, or is added as one of the input parameters to perform the fuzzy inference.

Further, in the invention having the above-mentioned structure, the error information calculation unit calculates the reception error occurrence rate of the training signal transmitted from the partner machine, and the change amount is input to the fuzzy inference unit. Parameter 1
Fuzzy inference is performed by replacing the error information, which is one of the input parameters, or by adding it as one of the input parameters. Further, in the invention according to claim 13 having the above-mentioned configuration, when the data of a plurality of lines is received, the error information calculation unit determines the error rate of the line received in error based on the data transmitted from the partner device. It is calculated as information, and fuzzy inference is performed by inputting the gain value and error information.

Further, in the invention having the above-mentioned structure, when the data for one page is received in frame units, the error information calculation unit calculates the ratio of the error-received frames as error information. Then, the amount of change is replaced with a gain value which is one of the input parameters of the fuzzy inference unit, or added as one of the input parameters to perform fuzzy inference.

Further, in the invention having the above structure, the storage unit for storing the final reception sensitivity of the reception sensitivity adjusting unit in association with the telephone number of the partner device is provided, and the storage unit stores the final reception sensitivity. The subsequent reception sensitivity is set by the reception sensitivity initial value setting unit to be read by the reception sensitivity initial value setting unit during communication with the partner device. Further, in the invention having the above-mentioned structure, a storage unit for storing the final reception sensitivity of the reception sensitivity adjusting unit in association with the country code of the partner device is provided, and the reception unit stored in this storage unit is provided. Upon subsequent communication with the country concerned, the receiving sensitivity initial value setting unit reads and sets the sensitivity as the initial value of the modem.

[0043]

EXAMPLES The present invention will be described below based on examples.
FIG. 1 is a block diagram showing a facsimile apparatus as a data communication apparatus according to an embodiment of the invention described in any one of claims 1 to 8. First, the configuration will be described. In the figure, a scanner 11 is an image reading device for reading an image. The operation display unit 12 is an operation unit including various keys and a display device for the user to operate. The plotter 13 has an image read by the scanner 11 (copy data) and a received image (facsimile data).
Is a recording unit that records the image on a predetermined recording sheet. CPU14
Is a main control device that controls the entire device, and a program required for the control is stored in the ROM 15. The RAM 16 stores various information used for controlling the CPU 14.

The communication control unit 17 controls facsimile communication (data communication) according to a predetermined protocol such as G3 or G4. The modem 18 is a modulator / demodulator that modulates and demodulates facsimile data, and performs processing such as modulating a digital signal and converting it into a voice signal. Network control device 1
Reference numeral 9 denotes, for example, capturing and disconnecting a communication line S such as the public telephone network PSTN and the integrated service digital network ISDN.
Perform line control. The encoding / decoding unit 20 compresses / demodulates communication data, encodes image information to be transmitted by a predetermined method and compresses the information amount, and at the same time, encodes image information encoded at the time of reception. Decrypt and restore the original image information.

The characteristic constituent elements according to the first aspect of the invention will now be described. The level detector 21 detects the transmission level of the signal output from the modem 18. The error information calculation unit 22, when the image information is transmitted in page units by the communication control unit 17, based on a signal responded from the other device, such as a retraining negative signal RTN or a retransmission request signal PPR, The rate of occurrence of error-received pages is calculated as error information. Fuzzy inference unit 23
Is the level detection unit 21 and the error information calculation unit 22.
The output level and error information obtained from the above are input, and a plurality of fuzzy rules to be described later are applied to obtain respective output components, these output components are combined, and the center of gravity value is calculated. The level adjusting unit 24 automatically adjusts the transmission level of the modem 18 according to the center of gravity value calculated by the fuzzy inference unit 23. In this embodiment, the characteristic components such as the fuzzy inference unit 23 are illustrated as independent blocks, but each of these units can be realized by software stored in the ROM 15 as a program. Fuzzy inference is performed by the CPU 14.

Next, the operation will be described. In the above configuration, the transmission level of the modem 18 is usually set by the CPU 14 according to a program stored in the ROM 15 to a predetermined value. In the present embodiment, as shown in FIG. 2, the current modem transmission level L and the partner's error information ER are input to the fuzzy inference unit 23, and the level obtained by the inference result is communicated by the level adjusting unit 24. While resetting to the modem 18. Here, the fuzzy inference is performed according to the fuzzy rules (1) to (5) by a preset membership function (L function, ER function).

FIG. 3 shows an embodiment of the membership function based on the current modem transmission level L. In this embodiment,
We shall define low, medium and high three-level membership functions. FIG. 4 shows an embodiment of the membership function based on the error information ER of the other party. In this embodiment, the error information ER due to the ratio of error pages when several pages are transmitted is small, medium, Many are defined by membership functions of three levels. The membership functions shown in FIGS. 3 and 4 are referred to as the L function for the transmission level L and the ER function for the error information ER, respectively, with a solid line when the level is low (small) and a single point when the level is medium. In the chain line, when it is high (more), it is shown in the broken line. Although both functions define three levels in this embodiment, the membership function may be defined in five levels such as low, slightly low, medium, slightly high, and high. The level number can be set to any value.

5 and 6 show fuzzy rules (1) to (5).
FIG. 4 is a membership function diagram showing the inference operation based on the above, and the final inference value, and each inference value is shown as a hatched portion in the figure. Hereinafter, an example of inference based on the Min-Max centroid method will be described with reference to FIGS. For example, the current modem transmission level L is 70, error information ER
Is 40, in rule (1), the high-level L function and the multi-level ER function are applied to obtain respective output components, and the height of the low output component of the two output components is calculated by the Min method. The output component of the low-level L function corresponding to In this case, the output component for the ER function is 0
Therefore, the output component in the low-level L function is 0.

Similarly, in rule (2), the high-level L function and the low-level ER function are applied to obtain respective output components, and the height of the low output component of the two output components is obtained by the Min method. The output component of the high-level L function corresponding to In this case, the hatched portion corresponding to the height of the output component with respect to the ER function is obtained as the output component A in the high level L function.

Similarly, in the rule (3), the output function of each of the output signals is obtained by applying the medium-level L function and the low-level ER function, and the high of the low output component of the two output components is obtained by the Min method. The output component of the middle level L function corresponding to In this case, the hatched portion corresponding to the height of the output component with respect to the L function is obtained as the output component B in the middle level L function.

Similarly, in the rule (4), the low-level L function and the multi-level ER function are applied to obtain respective output components, and the height of the low output component of the two output components is obtained by the Min method. The output component of the high-level L function corresponding to In this case, since the output component of both the L function and the ER function is 0, the output component of the high level L function is 0.

Similarly, in rule (5), the low-level L function and the low-level ER function are applied to obtain respective output components, and the height of the low output component of the two output components is obtained by the Min method. The output component of the high-level L function corresponding to In this case, the output component for the L function is 0
Therefore, the output component in the low-level L function is 0.

Thus, the transmission level L and the error information E
Using R as an input to the fuzzy inference unit 23, applying fuzzy rules (1) to (5) to obtain respective output components, and superimposing these output components, A and B in this embodiment, and synthesizing them, The combined output component C is obtained by connecting the highest output level lines by the Max method. And
The fuzzy inference unit 23 calculates the centroid value of the combined output component C. The center-of-gravity value can be read as about “65” from FIG.
The level adjustment unit 24 automatically adjusts the transmission level of the modem 18 from the initial L = 70 to L = 65 according to the center of gravity value “65”.

As described above, in this embodiment, since the modem transmission level L is automatically adjusted for each destination by fuzzy inference using the modem transmission level L and the error information ER as input parameters, the modem transmission level L is low. The communication quality can be improved by preventing the occurrence of an error caused by, and the communication cost can be reduced by preventing the improper downshifting of the modem rate and shortening the communication time.

The invention according to claim 2 will be described below based on embodiments. FIG. 7 is a block diagram showing a modem transmission level automatic adjustment block according to the second aspect of the present invention. In addition, in the present embodiment, regarding the same configuration as the above example,
The same reference numerals are given and the detailed description thereof is omitted. First,
The configuration will be described. In FIG. 7, the error information calculation unit 22
Calculates the ratio of error-received frames as error information based on a signal returned from the partner device when one page of data is transmitted in frame units, such as a retransmission request PPR. The PPR information is ECM (Error Co
(rrrrection Mode) is a resend request signal to be responded from the other device at the time of transmission, and the error information calculation unit 22 calculates how many of the frames the error has occurred and the fuzzy inference unit 23. To enter.

Next, the operation will be described. As shown in FIG. 7, the fuzzy inference unit 23 is provided with a current modem transmission level L.
And the error information PPR indicating the number of error frames calculated from the content of the retransmission request PPR from the other party,
The level obtained by the inference result is reset by the level adjusting unit 24 in the modem 18 during communication. Here, the fuzzy inference is based on a preset membership function (L function,
It is performed according to the fuzzy rules (1) to (5) by the PPR function).

FIG. 8 shows the ratio of error frames notified by the retransmission request PPR from the partner device (error information PPR
, Which is a ratio of error frames to all transmission frames, in this embodiment, the error information PPR is a small, medium, large, three-level membership function. Shall be specified by The membership function shown in FIG.
The error information PPR is referred to as a PPR function, which is indicated by a solid line when the number is small, a one-dot chain line when the number is medium, and a broken line when the number is large. Further, although the PPR function of this embodiment defines three levels, the membership function may be defined at five levels, such as low, slightly low, medium, slightly large, and large. The level number can be set to any value.

After defining such L function and PPR function as membership functions, fuzzy inference is performed by applying the rules (1) to (5) illustrated in FIG. Fuzzy inference uses Min-Max as described in FIGS.
Modem transmission level L and error information PPR are calculated by the center of gravity method.
Is input to the fuzzy inference unit 23, the output components of the fuzzy rules (1) to (5) are obtained, these output components are combined, and the center of gravity value is calculated. The transmission level L of the modem 18 is automatically adjusted by the level adjusting unit 24 according to the center of gravity value.

As described above, in the present embodiment, the modem transmission level L is automatically adjusted for each destination by fuzzy inference in which the ratio of error frames is input as the error information PPR, so that the modem transmission level L is low. The communication quality can be improved by preventing the occurrence of the error, and the communication cost can be reduced by preventing the improper downshifting of the modem rate and realizing the shortening of the communication time.

The invention according to claim 3 will be described below based on embodiments. FIG. 10 is a block diagram showing a modem transmission level automatic adjustment block according to the invention of claim 3.
In this embodiment, the same components as those in the above-mentioned example are designated by the same reference numerals, and the detailed description thereof will be omitted. First, the configuration will be described. In FIG. 10, the level adjusting unit 2
When the level adjustment is performed according to 4, the error change amount calculation unit 31 refers to the error information ER (or PPR) of the error information calculation unit 22 and calculates the change amount ΔER of the error information before and after the level adjustment. The error change amount ΔER calculated here may be a value obtained by subtracting error information before and after the level adjustment, or a change rate before and after the level adjustment. In the present embodiment, this error change amount ΔER is used as the error information E which is one of the input parameters of the fuzzy inference unit 23.
It is replaced with R or added as one of the input parameters.

Next, the operation will be described. In the present embodiment shown in FIG. 10, information as to whether the error has decreased or rather increased as a result of automatic adjustment of the sending level L by the embodiment according to the invention of claim 1 or 2, that is, error change. The quantity ΔER is also an input for fuzzy reasoning. That is, the fuzzy inference unit 23 is informed of the current modem transmission level L and the error information ER from the other party.
And the error change amount ΔER are input, and the level obtained from the inference result is reset in the modem 18 during communication by the level adjusting unit 24. Here, fuzzy inference is based on preset membership functions (L function, ER function, ΔER
Function), and is performed according to the fuzzy rules (1) to (7).

FIG. 9 shows an embodiment of the membership function based on the change amount ΔER of the error information ER. In this embodiment, the error change amount ΔER is set to be negative (decrease in error number) or zero (no change in error number). ), Positive (increased number of errors), and three-level membership function. The membership function shown in FIG. 9 is referred to as a ΔER function with respect to the error change amount ΔER, and is shown by a solid line when it is negative, by a one-dot chain line when it is zero, and by a broken line when it is positive. And Further, although the ΔER function of this embodiment defines three levels, the membership function may be defined by five levels such as negative large, negative small, zero, positive small, positive large. The level number can be set to any value.

After defining such L function, ER function and ΔER function as membership functions, fuzzy inference is performed by applying the rules (1) to (7) illustrated in FIG. Fuzzy inference is performed using Mi as described in FIGS.
By the n-Max centroid method, the modem transmission level L, the error information ER, and the error change amount ΔER are input to the fuzzy inference unit 23, and the output components of the fuzzy rules (1) to (7) are obtained, and these output components are calculated. After synthesizing, the center of gravity value is calculated. The transmission level L of the modem 18 is automatically adjusted by the level adjusting unit 24 according to the center of gravity value.

In this embodiment, the modem transmission level L, the error information ER (or the error information PPR), and the error change amount ΔER are input parameters of the fuzzy inference unit 23.
However, it is not always necessary to input the error information ER (or the error information PPR), and it is possible to perform the fuzzy inference using only the modem transmission level L and the error change amount ΔER.

As described above, in the present embodiment, since the modem transmission level L is automatically adjusted for each destination by fuzzy inference using the change amount ΔER of the error information ER as an input parameter, the modem transmission level L becomes low. It is possible to prevent the occurrence of errors due to the communication quality and improve the communication quality, and to prevent the improper downshifting of the modem rate to shorten the communication time and reduce the communication cost.

The invention according to claim 4 will be described below based on embodiments. FIG. 11 is a block diagram showing a block for automatically adjusting the modem transmission level according to the invention described in claim 4.
In this embodiment, the same components as those in the above-mentioned example are designated by the same reference numerals, and the detailed description thereof will be omitted. First, the configuration will be described. In FIG. 11, the reception signal level detection unit 41 detects a reception signal level RL such as a signal transmitted from the other device, for example, a digital identification signal DIS which is a response signal from the other device, a reception preparation confirmation signal CFR, a message confirmation signal MCF and the like. Detect. Then, in the present embodiment, this received signal level RL is replaced with the error information ER which is one of the input parameters of the fuzzy inference unit 23, or added as one of the input parameters. By detecting such a received signal level RL, the amount of attenuation in the line can be estimated.

Next, the operation will be described. In the present embodiment shown in FIG. 11, response signals (DIS, CFR, M
When a CF or the like) is received, the received signal level detector 41 reads the level RL of the received signal, and the received signal level RL is also used as an input for fuzzy inference. In other words, the fuzzy inference unit 23 is informed of the current modem transmission level L.
And the error information ER from the other party and the received signal level RL
Is input, and the level obtained by the inference result is reset in the modem 18 during communication by the level adjusting unit 24. Here, the fuzzy inference is performed according to the fuzzy rules (1) to (7) by a preset membership function (L function, ER function, RL function).

FIG. 12 shows an example of a membership function based on the received signal level RL. In this example, the received signal level RL is defined by membership functions of low, medium and high levels. . The membership function shown in FIG. 12 is referred to as an RL function with respect to the received signal level RL, and is shown by a solid line when it is low, a one-dot chain line when it is middle, and a broken line when it is high. To do. Further, although the RL function of this embodiment defines three levels,
For example, the membership function may be defined in five levels, such as low, slightly low, medium, slightly high, and high, and the number of levels can be set to any value.

After defining such L function, ER function, and RL function as membership functions, fuzzy inference is performed by applying the rules (1) to (7) illustrated in FIG. Fuzzy inference uses Min as described in FIGS.
By the Max centroid method, the modem transmission level L, the error information ER, and the received signal level RL are input to the fuzzy inference unit 23, and the output components of the fuzzy rules (1) to (7) are obtained, and these output components are combined. Then, the center of gravity value is calculated. According to this center of gravity value, the level adjusting unit 2
4, the transmission level L of the modem 18 is automatically adjusted.

In this embodiment, the modem sending level L, the error information ER (or the error information PPR), the received signal level RL are input parameters of the fuzzy inference unit 23.
However, it is not always necessary to input the error information ER (or the error information PPR), and it is possible to perform the fuzzy inference using only the modem transmission level L and the reception signal level RL.

As described above, in this embodiment, since the modem transmission level is automatically adjusted for each destination by fuzzy inference using the reception level RL of the signal transmitted from the destination device as an input parameter, the modem transmission level L It is possible to prevent the occurrence of errors due to the lowness and improve the communication quality, and to prevent the improper downshifting of the modem rate to shorten the communication time and reduce the communication cost.

The invention according to claim 5 will be described below based on embodiments. FIG. 14 is a block diagram showing a modem transmission level automatic adjustment block according to the invention of claim 5.
In this embodiment, the same components as those in the above-mentioned example are designated by the same reference numerals, and the detailed description thereof will be omitted. First, the configuration will be described. In FIG. 14, the echo level detection unit 51 detects the echo level EL of the signal transmitted by itself, for example, when using a satellite line. Then, in the present embodiment, the echo level EL is replaced with the error information ER which is one of the input parameters of the fuzzy inference unit 23, or added as one of the input parameters. By detecting such an echo level EL, it is possible to assume the amount of attenuation in the line, similar to the received signal level RL described in the embodiment according to the invention described in claim 4.

Next, the operation will be described. In the present embodiment shown in FIG. 14, the reception level EL of the echo signal of the signal output by itself is detected by the echo level detection unit 51, for example, when a satellite line is used, and this echo level E
L is also an input for fuzzy inference. That is, the current modem transmission level L, the error information ER from the other party, and the echo level EL are input to the fuzzy inference unit 23, and the level obtained from the inference result is input to the level adjusting unit 2
4 to reset the modem 18 during communication. Here, the fuzzy inference is performed according to the fuzzy rules (1) to (7) by a preset membership function (L function, ER function, EL function).

FIG. 13 shows an embodiment of the membership function based on the echo level EL. In this embodiment, the echo level EL is defined by the membership functions of low, medium and high. The membership function shown in FIG. 13 is referred to as an EL function for the echo level EL, and is shown by a solid line when it is low, a one-dot chain line when it is middle, and a broken line when it is high. . Further, although the EL function of this embodiment defines three levels, it is 5 such as low, slightly low, medium, slightly high, and high.
The membership function may be defined by level, and the number of levels can be set to any value.

After defining such L function, ER function, and EL function as membership functions, fuzzy inference is performed by applying the rules (1) to (7) illustrated in FIG. Fuzzy inference uses Min as described in FIGS.
By the Max center of gravity method, the modem transmission level L, the error information ER, and the echo level EL are input to the fuzzy inference unit 23, the output components of the fuzzy rules (1) to (7) are obtained, and these output components are combined. The center of gravity value is calculated above. According to this center of gravity value, the level adjusting unit 24
The transmission level L of the modem 18 is automatically adjusted by.

Although the present embodiment uses the three parameters of the modem transmission level L, the error information ER (or error information PPR), and the echo level EL as the input parameters of the fuzzy inference unit 23, the error information ER (or error information) is used. P
It is not always necessary to input (PR), and it is possible to perform fuzzy inference using only two of the modem transmission level L and the echo level EL.

As described above, in this embodiment, the modem transmission level L is set for each destination by fuzzy inference using the echo level EL of the signal transmitted by itself as an input parameter.
Since it automatically adjusts, the error caused by the low modem transmission level L can be prevented to improve the communication quality, and the unreasonable downshift of the modem rate can be prevented to shorten the communication time and the communication cost. Can be reduced.

The invention according to claim 6 will be described below based on embodiments. FIG. 15 is a block diagram showing a modem transmission level automatic adjustment block according to the invention of claim 6.
In this embodiment, the same components as those in the above-mentioned example are designated by the same reference numerals, and the detailed description thereof will be omitted. First, the configuration will be described. In FIG. 15, the level adjusting unit 2
When the level is adjusted by 4, the level change amount calculation unit 61 refers to the detection level L of the level detection unit 21 and calculates the change amount ΔL of the transmission level L before and after the level adjustment.
The level change amount ΔL calculated here may be a value obtained by subtracting the transmission level L before and after the level adjustment, or a change rate before and after the level adjustment. In this embodiment, this level change amount ΔL is replaced with the error information ER which is one of the input parameters of the fuzzy inference unit 23, or added as one of the input parameters.

Next, the operation will be described. In the present embodiment shown in FIG. 15, the level adjustment unit 24 causes the modem transmission level L
Is adjusted, the amount of change ΔL is calculated by the level change amount calculation unit 61 and is used as an input for fuzzy inference.
That is, the current modem transmission level L, the error information ER from the other party, and the level change amount ΔL are input to the fuzzy inference unit 23, and the level obtained from the inference result is being communicated by the level adjusting unit 24. Reset to the modem 18. Here, the fuzzy inference is performed according to the fuzzy rules (1) to (7) by a preset membership function (L function, ER function, ΔL function).

FIG. 16 shows the change amount ΔL of the modem transmission level L.
This is an example of a membership function based on the following. In the present example, the level change amount ΔL is defined by three levels of membership functions: negative (level decrease), zero (level unchanged), positive (level increase). It shall be specified. Note that FIG.
The membership function shown in 6 will be referred to as a ΔL function with respect to the level change amount ΔL, and is shown by a solid line when it is negative, by an alternate long and short dash line when it is zero, and by a broken line when it is positive. Further, although the ΔL function of the present embodiment defines three levels, the membership function may be defined by five levels, such as negative large, negative small, zero, positive small, positive large.
The number of levels can be set to any value.

After defining such L function, ER function and ΔL function as membership functions, fuzzy inference is performed by applying the rules (1) to (7) illustrated in FIG. Fuzzy inference uses Min as described in FIGS.
By the Max centroid method, the modem transmission level L, the error information ER, and the level change amount ΔL are input to the fuzzy inference unit 23, the output components of the fuzzy rules (1) to (7) are obtained, and these output components are combined. Then, the center of gravity value is calculated. According to this center of gravity value, the level adjusting unit 24
The transmission level L of the modem 18 is automatically adjusted by.

In the present embodiment, the three parameters of the modem transmission level L, the error information ER (or error information PPR), and the level change amount ΔL are used as the input parameters of the fuzzy inference unit 23, but the error information ER (or error Information P
It is not always necessary to input (PR), and it is also possible to perform fuzzy inference using only two of the modem transmission level L and the level change amount ΔL.

As described above, in this embodiment, since the modem transmission level L is automatically adjusted for each destination by fuzzy inference using the level change amount ΔL before and after the level adjustment as an input parameter, the modem transmission level L is low. The communication quality can be improved by preventing the occurrence of an error caused by, and the communication cost can be reduced by preventing the improper downshifting of the modem rate and shortening the communication time.

The invention according to claim 7 will be described below based on embodiments. FIG. 17 is a diagram showing input / output signals of the fuzzy inference unit according to the invention described in claim 7. In this embodiment, the same components as those in the above-mentioned example are designated by the same reference numerals, and the detailed description thereof will be omitted. First, the configuration will be described. In FIG. 17, the fuzzy inference unit 23 uses the input parameters described in claims 1 to 6, that is, the current transmission level L, the error information ER (or PP).
R), error change amount ΔER, received signal level RL, echo level EL, and level change amount ΔL are arbitrarily combined to perform fuzzy inference.

Next, the operation will be described. In the present embodiment shown in FIG. 17, the membership functions as described above, that is, the L function, ER function, ΔER function, RL function, EL function,
After defining the ΔL function, the exemplified rules (1) to (1
Apply fuzzy reasoning to 3). The fuzzy inference is performed by the Min-Max centroid method as described with reference to FIGS. 5 and 6, the modem transmission level L, the error information ER, the error variation ΔER, the reception signal level RL, the echo level EL,
The level change amount ΔL is input to the fuzzy inference unit 23, the output components of the fuzzy rules (1) to (13) are obtained, these output components are combined, and the centroid value thereof is calculated. The transmission level L of the modem 18 is automatically adjusted by the level adjusting unit 24 according to the center of gravity value.

In this embodiment, the modem transmission level L, the error information ER (or the error information PPR), and the error change amount ΔE are input parameters of the fuzzy inference unit 23.
Six parameters, R, received signal level RL, echo level EL, and level change amount ΔL were used, but it is not necessary to input all of these input parameters, and it is possible to perform fuzzy inference with arbitrarily selected input parameters. Is. Needless to say, other input parameters than those illustrated in this embodiment can be used as input parameters if they do not violate the gist of the present invention.

As described above, in the present embodiment, since the modem transmission level L is automatically adjusted for each destination by the fuzzy inference combining various input parameters, the occurrence of an error due to the low modem transmission level L is prevented. It is possible to prevent the communication quality from being improved and prevent the modem rate from being unduly downshifted to shorten the communication time and reduce the communication cost.

The invention according to claim 8 will be described below based on embodiments. First, the configuration will be described. In FIG.
When the communication with the partner machine is completed, the level adjustment unit 24
The final transmission level L is stored in association with the telephone number of the partner device. For this purpose, a storage unit for the transmission level L is provided in the RAM 16. Then, at the next communication with the partner device, the CPU 14 reads out the transmission level L stored in the storage unit of the RAM 16 and sets it in the modem 18 as the transmission level initial value setting unit of the present embodiment.

Next, the operation will be described. FIG. 18 shows claim 8.
It is a flowchart which shows the adjustment processing procedure of the modem transmission level which concerns on the invention of description. In this flowchart, the fuzzy reasoning unit 2 is provided with the modem transmission level L and the error information PPR based on the embodiment according to the invention described in claim 2.
3 will be described as an example in which fuzzy inference is performed.

First, when a transmission instruction is given by a user operation from the operation display unit 12, communication is started. At the start of communication, the CPU 14 first identifies the partner device based on the information for identifying the partner device, for example, the input telephone number (step S1). When the communication control unit 17 detects an incoming call and starts communication, for example, a telephone number or a transmission terminal identification signal TSI (Transmitting Subscribe) notified from the partner device.
r Identification) or source reference information TTI
The partner machine is identified from information such as (Transmitter Terminal Identification).

Subsequently, the CPU 14 determines whether or not the transmission level at the time of the last communication is stored in the RAM 16 corresponding to the specified partner machine (step S2). If it is stored, the transmission level L is read (step S3) and set as an initial value in the modem 18 (step S4). However, if the determination in step S2 is NO, that is, if there is no memory, the sending level defaulted by the system is read (step S5)
It is set in the modem 18 as an initial value.

After setting the transmission level in the modem 18, the CPU
The communication control unit 17 sends one page of data (image information) (step S6), and the number of error frames calculated from the current modem sending level L and the content of the resend request PPR from the other party. Fuzzy inference is performed using the (error information PPR) as an input to the fuzzy inference unit 23 (step S7). However, when the message confirmation signal MCF is returned instead of the retransmission request PPR, it may be inferred that there is no PPR, or the transmission level L may be maintained as it is without performing the inference. . Fuzzy inference is performed according to the fuzzy rules (1) to (5) shown in FIG. The result of the fuzzy inference is transferred to the level adjusting unit 24 as an inferred value of the modem transmission level, and is set in the modem 18 by the level adjusting unit 24 (step S8). In addition, here, the fuzzy inference unit 23
Although it has been described that the output level itself is output to the level adjusting unit 24 from the above, the same level adjustment can be performed by outputting the output level change request (control signal), for example.

After the modem transmission level L obtained as described above is set in the modem 18, the CPU 14 or the communication controller 17 determines whether or not there is a next page (step S9). Here, if there is a next page, the process returns to step S6 to repeat the subsequent fuzzy inference, but if it is the last page, the transmission level L fuzzy inferred in step S7 is associated with the telephone number of the partner device. Then, the data is stored in the RAM 16 (step S10), and the process ends. The modem transmission level stored here is reused as an initial value for the next communication. In this flowchart, the transmission level is changed on a page-by-page basis. However, if ECM transmission is performed, the level may be adjusted by the fuzzy inference even when the same page is retransmitted.

As described above, in the present embodiment, the transmission level L automatically adjusted to a proper value by fuzzy inference is stored for each destination and used for the communication from the next time onward, so that the modem suitable for the partner machine can be used. The sending level L can be initialized,
The convergence of the automatic adjustment can be made faster, and the reliability of the modem transmission level L can be improved as the communication is repeated. As described above, in this embodiment, the transmission level L automatically adjusted to an appropriate value by fuzzy inference is stored for each destination and used for the communication from the next time onward, so that the modem transmission level L appropriate for the partner machine can be obtained. Can be initialized, the convergence of the automatic adjustment can be speeded up, and the reliability of the modem transmission level L can be improved as the communication is repeated.

FIG. 19 is a block diagram showing a facsimile apparatus as a data communication apparatus according to an embodiment of the invention described in any of claims 9 to 16. First, the configuration will be described. In the figure, a scanner 71 is an image reading device for reading an image. The operation display unit 72 is an operation unit including various keys and a display device for a user to perform an operation. The plotter 73 is a recording unit that records an image (copy data) read by the scanner 71 or a received image (facsimile data) on a predetermined recording paper. A CPU 74 is a main control unit that controls the entire apparatus, and a program required for the control is a ROM 75.
It is stored in. The RAM 76 stores various information used for controlling the CPU 74.

The communication controller 77 controls facsimile communication (data communication) according to a predetermined protocol such as G3 or G4. The modem 78 is a modulator / demodulator that modulates and demodulates facsimile data, and performs processing such as modulating a digital signal and converting it into a voice signal. Network controller 7
Reference numeral 9 denotes, for example, capturing and disconnecting a communication line S such as the public telephone network PSTN and the integrated service digital network ISDN.
Perform line control. The encoding / decoding unit 80 compresses / demodulates communication data, encodes image information to be transmitted by a predetermined method and compresses the amount of the information, while encoding the image information encoded at the time of reception. Decrypt and restore the original image information.

Characteristic constituent elements according to the invention of claim 9 will now be described. The signal amplification unit 86 automatically adjusts and amplifies the gain so that the signal level input via the communication line becomes a constant level. The gain detector 81 is
The gain G related to the amplification of the signal amplification unit 86 is detected. The fuzzy inference unit 83 includes the gain detection unit 81 and RA.
The gain G and the receiving sensitivity S obtained from the M (storage unit) 76 are input, and the output components are obtained by applying the fuzzy rules described below, and the output components are combined, and then the centroid value is calculated. To do. Reception sensitivity adjusting unit 84
Automatically adjusts the reception sensitivity S of the modem 78 according to the center of gravity value calculated by the fuzzy inference unit 83.

In this embodiment, the characteristic components such as the fuzzy inference unit 83 are shown as independent blocks, but these units are stored in the ROM 7 as a program.
It can also be realized by the software stored in 5, and in this case, the CPU 74 performs fuzzy inference.
The gain G is obtained by the CPU 74 reading gain information AGC (Auto Gain Control) of the modem 78 from the output port.

Next, the operation will be described. In the above-mentioned configuration, normally, the receiving sensitivity S of the modem 78 is set to a predetermined value by the CPU 74 in accordance with the program in the ROM 75, and is stored in the RAM 76. In this embodiment, as shown in FIG. 20, the fuzzy inference unit 83
, The current gain G of the signal amplification unit 86 and the reception sensitivity S stored in the RAM 76 are input, and the reception sensitivity S obtained from the inference result is reset to the modem 78 during communication by the reception sensitivity adjustment unit 84. To do. Here, the fuzzy inference is performed according to the fuzzy rules (1) to (7) by a preset membership function (S function, G function).

FIG. 21 shows an embodiment of the membership function based on the current reception sensitivity S of the modem. In this embodiment, the membership functions of low, medium, high and 3 gain are defined. To do. Further, FIG. 22 shows the gain detection unit 81.
This is an example of a membership function based on the gain G of 1. In this example, the gain G is defined by a three-level membership function of negative or zero, positive small, positive large.

The membership functions shown in FIGS. 21 and 22 are used for the reception sensitivity S, the S function, and the gain G, respectively.
Will be referred to as a G function, and will be indicated by a solid line when it is low (small), by a chain line when it is medium, and by a broken line when it is high (large). Further, both functions define three levels in this embodiment, but are low, for example.
The membership function may be defined in five levels, such as slightly low, medium, slightly high, and high, and the number of levels can be set to any value.

23 and 24 show fuzzy rules (1) to
It is a membership function diagram showing the inference operation according to (7) and the final inference value, and each inference value is shown as a hatched portion in the figure. Hereinafter, an example of inference based on the Min-Max centroid method will be described with reference to FIGS. For example, the current gain G is +20 and the receiving sensitivity S is 3
When set to 0, in rule (1), the high level S
The output component of the low gain S function corresponding to the height of the low output component of the two output components is obtained by applying the function and the large-level G function to obtain the respective output components. In this case, the output component for the S function is 0, so
The output component in the low-level S function is zero.

Similarly, in the rule (2), the high-level S function and the low-level G function are applied to obtain respective output components, and the height of the low output component of the two output components is calculated by the Min method. The output component of the medium level S-function corresponding to In this case, the output component for the S function is 0
Therefore, the output component in the middle level S function is zero.

Similarly, in the rule (3), the output function of each of the output functions is obtained by applying the medium-level S function and the large-level G function, and the high output of the low output component of the two output components is obtained by the Min method. The output component of the middle level S-function corresponding to In this case, since the output component for the S function is 0, the output component for the high level S function is 0.

Similarly, in the rule (4), the output function of each of the output signals is obtained by applying the medium-level S function and the small-level G function, and the high output of the low output component of the two output components is obtained by the Min method. The output component of the high-level S-function corresponding to In this case, the output component for the S function is 0
Therefore, the output component in the high level S-function becomes 0.

Similarly, in the rule (5), the low-level S function and the high-level G function are applied to obtain respective output components, and the height of the low output component of the two output components is calculated by the Min method. The output component of the medium level S-function corresponding to In this case, the hatched portion corresponding to the height of the output component with respect to the G function is obtained as the output component A in the middle level S function.

Similarly, in the rule (6), the low-level S function and the low-level G function are applied to obtain respective output components, and the height of the low output component of the two output components is obtained by the Min method. The output component of the low-level S function corresponding to In this case, the hatched portion corresponding to the height of the output component with respect to the G function is obtained as the output component B in the low level S function.

Similarly, in the rule (7), the S function having no component and the small level G function are applied to obtain respective output components, and the height of the low output component of the two output components is obtained by the Min method. The output component of the low-level S function corresponding to In this case, since the output component for the S function is 0, the output component for the low level S function is 0. In this way, the gain G and the reception sensitivity S are calculated by the fuzzy inference unit 83
, Fuzzy rules (1) to (7) are applied to obtain respective output components, and these output components, A and B in the present embodiment, are combined and combined, and then Ma
The highest output level line is connected by the x method to obtain the composite output component C. Then, the fuzzy inference unit 83 calculates the centroid value of the combined output component C. The centroid value can be read as about "40" from FIG. The reception sensitivity adjusting unit 84 sets the incoming gain of the modem 78 according to the center of gravity value “40”,
The initial S = 30 is automatically adjusted to S = 40.

As described above, in the present embodiment, the modem reception sensitivity S is automatically adjusted for each destination by fuzzy inference using the gain G and the reception sensitivity S as input parameters. The communication quality can be improved by preventing the occurrence of the error, and the communication cost can be reduced by preventing the improper downshifting of the modem rate and realizing the shortening of the communication time.

The invention according to claim 10 will be described below based on examples. FIG. 25 is a block diagram showing an automatic adjustment block of the modem reception sensitivity S according to the invention of claim 10. In this embodiment, the same components as those in the above-mentioned example are designated by the same reference numerals, and the detailed description thereof will be omitted.
First, the configuration will be described. In FIG. 25, when the reception sensitivity adjustment unit 84 performs the reception sensitivity adjustment, the gain change amount calculation unit 85 causes the gain G change amount Δ before and after the reception sensitivity adjustment.
Calculate G. Note that the gain change amount ΔG calculated here
May be a value obtained by subtracting the gain before and after the reception sensitivity adjustment, or the rate of change before and after the reception sensitivity adjustment. In the present embodiment, this gain change amount ΔG is replaced with the gain G which is one of the input parameters of the fuzzy inference unit 83, or
Alternatively, it is added as one of the input parameters.

Next, the operation will be described. In the present embodiment shown in FIG. 25, the current modem reception sensitivity S, the gain G, and the gain change amount ΔG are input to the fuzzy inference unit 83, and the reception sensitivity S obtained from the inference result is adjusted to the reception sensitivity. Part 8
4 is reset to the modem 78 during communication. Here, the fuzzy inference uses the membership functions (S function, G function, ΔG function) set in advance, and the fuzzy rule (1)
~ It is performed according to (7).

FIG. 26 shows an example of a membership function based on the change amount ΔG of the gain G. In this embodiment, the gain change amount ΔG is set to a negative value (gain reduction), a zero value (no gain change), and a positive value. (Gain increase) It shall be specified by a membership function of 3 gains. The membership function shown in FIG. 26 is referred to as a ΔG function with respect to the gain change amount ΔG, and is shown by a solid line when it is negative, by a one-dot chain line when it is zero, and by a broken line when it is positive. And Also,
Although the ΔG function of the present embodiment defines 3 gains, the membership function may be defined by 5 gains, such as negative large, negative small, zero, positive small, positive large, and the number of gains thereof. Can be set to any value.

After defining such S function, G function, and ΔG function as membership functions, fuzzy inference is performed by applying the rules (1) to (7) illustrated in FIG. Fuzzy inference uses M as described in FIGS.
The modem reception sensitivity S, the gain information G, and the gain change amount ΔG are input to the fuzzy inference unit 83 by the in-Max centroid method, and the respective output components of the fuzzy rules (1) to (7) are obtained, and these output components are calculated. After synthesizing, the center of gravity value is calculated. According to the center of gravity value, the reception sensitivity adjusting unit 8
4, the receiving sensitivity S of the modem 78 is automatically adjusted.

In the present embodiment, the three parameters of the reception sensitivity S, the gain G, and the gain change amount ΔG are used as the input parameters of the fuzzy inference unit 83. However, the gain G is not always required to be input, and the modem reception sensitivity S. It is also possible to perform fuzzy inference using only two of the gain change amount ΔG and the gain change amount ΔG.
As described above, in the present embodiment, since the modem reception sensitivity S is automatically adjusted for each destination by fuzzy inference using the change amount ΔG of the gain information G as an input parameter, an error caused by the low modem reception sensitivity S is generated. It is possible to improve the communication quality by preventing the occurrence of communication error, and to prevent the improper downshifting of the modem rate to shorten the communication time and reduce the communication cost.

The invention according to claim 11 will be described below based on examples. FIG. 27 is a block diagram showing an automatic adjustment block of the modem transmission level according to the invention of claim 11. In this embodiment, the same components as those in the above-mentioned example are designated by the same reference numerals, and the detailed description thereof will be omitted.
First, the configuration will be described. In FIG. 27, the error information calculation unit 82 sends a signal, such as a retraining negative signal RTN or a retransmission request signal PPR, which responds to the partner device when the communication control unit 77 receives the image information page by page. Based on this, the error information of the error-received page is calculated. Then, in this embodiment, this error information ERR
Is replaced with the gain G which is one of the input parameters of the fuzzy inference unit 23, or added as one of the input parameters. By calculating such error information ERR, the amount of attenuation in the line can be estimated.

Next, the operation will be described. In the present embodiment shown in FIG. 27, when the response signal (RTN, PPR, etc.) to the transmission side is transmitted, the error information calculation unit 82 calculates the error occurrence rate of the page output from the communication control unit 77. Calculate as This error information is used as an input for fuzzy inference. That is, the current modem reception sensitivity S, the gain G, and the error information ERR are input to the fuzzy inference unit 83, and the reception sensitivity S obtained from the inference result is received by the reception sensitivity adjusting unit 84 during communication with the modem 78. Reset to. Here, the fuzzy inference is performed according to the fuzzy rules (1) to (7) by a preset membership function (S function, G function, ERR function).

FIG. 28 shows an embodiment of the membership function based on the error information ERR. In this embodiment, the error information ERR is defined by membership functions of three levels: small, medium and large. The membership function shown in FIG. 28 is referred to as an ERR function for the error information ERR, and is shown by a solid line when the number is small, a one-dot chain line when the number is medium, and a broken line when the number is large. . Further, although the ERR function of this embodiment defines three levels, the membership function may be defined at five levels, such as low, slightly low, medium, high, high. The level number can be set to any value.

After defining such S function, G function and ERR function as membership functions, fuzzy inference is performed by applying the rules (1) to (7) illustrated in FIG. Fuzzy inference uses M as described in FIGS.
By the in-Max centroid method, the modem reception sensitivity S, the gain G, and the error information ERR are input to the fuzzy inference unit 83, the output components of the fuzzy rules (1) to (7) are obtained, and these output components are combined. The center of gravity value is calculated above. According to this center-of-gravity value, the reception sensitivity adjusting unit 84
Thus, the reception sensitivity S of the modem 78 is automatically adjusted.

In this embodiment, the three parameters of the modem reception sensitivity S, the gain G, and the error information ERR are used as the input parameters of the fuzzy inference unit 83. However, it is not always necessary to input the gain G, and the modem reception sensitivity S is not necessarily required. And error information E
It is also possible to make a fuzzy inference using only two RRs. As described above, in the present embodiment, the modem reception sensitivity is automatically adjusted for each partner by fuzzy inference using the error information ERR of the signal transmitted from the partner device as an input parameter, so that the modem reception sensitivity S becomes low. It is possible to prevent the occurrence of errors due to the communication quality and improve the communication quality, and to prevent the improper downshifting of the modem rate to shorten the communication time and reduce the communication cost.

The twelfth aspect of the present invention will be described below based on examples. FIG. 27 is a block diagram showing a modem transmission level automatic adjustment block according to the twelfth aspect of the present invention. In this embodiment, the same components as those in the above-mentioned example are designated by the same reference numerals, and the detailed description thereof will be omitted.
First, the configuration will be described. In FIG. 27, the error information calculation unit 82 calculates the error information that has been error-received after the communication control unit 77 receives a continuous signal of “0” as the training check TCF for 1.5 seconds. Then, in this embodiment, the error information ERR is replaced with the gain G which is one of the input parameters of the fuzzy inference unit 23, or added as one of the input parameters.
By calculating such error information ERR, the amount of attenuation in the line can be estimated.

Next, the operation will be described. In the present embodiment shown in FIG. 27, when the training check TCF is received from the transmission side, the error information calculation unit 82 calculates the data including the error output from the communication control unit 77 as the error information. This error information is used as an input for fuzzy inference. That is, the current modem reception sensitivity S, the gain G, and the error information ERR are input to the fuzzy inference unit 83, and the reception sensitivity S obtained from the inference result is received by the reception sensitivity adjusting unit 84 during communication with the modem 78. Reset to. Here, the fuzzy inference is performed according to the fuzzy rules (1) to (7) by a preset membership function (S function, G function, ERR function).

FIG. 28 shows an embodiment of the membership function based on the error information ERR. In this embodiment, the error information ERR is defined by the membership functions of three levels: small, medium and large. The membership function shown in FIG. 28 is referred to as an ERR function for the error information ERR, and is shown by a solid line when the number is small, a one-dot chain line when the number is medium, and a broken line when the number is large. . Further, although the ERR function of this embodiment defines three levels, the membership function may be defined at five levels, such as low, slightly low, medium, high, high. The level number can be set to any value.

After defining such S function, G function and ERR function as membership functions, fuzzy inference is performed by applying the rules (1) to (7) illustrated in FIG. Fuzzy inference uses M as described in FIGS.
By the in-Max centroid method, the modem reception sensitivity S, the gain G, and the error information ERR are input to the fuzzy inference unit 83, the output components of the fuzzy rules (1) to (7) are obtained, and these output components are combined. The center of gravity value is calculated above. According to this center-of-gravity value, the reception sensitivity adjusting unit 84
Thus, the reception sensitivity S of the modem 78 is automatically adjusted.

In the present embodiment, the three parameters of the modem reception sensitivity S, the gain G, and the error information ERR are used as the input parameters of the fuzzy inference unit 83. However, the gain G is not necessarily input, and the modem reception sensitivity S is not necessarily required. And error information E
It is also possible to make a fuzzy inference using only two RRs. As described above, in the present embodiment, the modem reception sensitivity is automatically adjusted for each partner by fuzzy inference using the error information ERR based on the training check TCF sent from the partner device as an input parameter. It is possible to prevent the occurrence of errors due to the lowness and improve the communication quality, and to prevent the improper downshifting of the modem rate to shorten the communication time and reduce the communication cost.

The invention according to claim 13 will be described below based on examples. FIG. 27 is a block diagram showing a modem transmission level automatic adjustment block according to the thirteenth aspect of the present invention. In this embodiment, the same components as those in the above-mentioned example are designated by the same reference numerals, and the detailed description thereof will be omitted.
First, the configuration will be described. In FIG. 27, the error information calculator 82 calculates the error information based on the number of error-received lines when the communication controller 77 receives the image information in units of a plurality of lines. Then, in this embodiment, the error information ERR is replaced with the gain G which is one of the input parameters of the fuzzy inference unit 23, or added as one of the input parameters. By calculating such error information ERR, the amount of attenuation in the line can be estimated.

Next, the operation will be described. In the present embodiment shown in FIG. 27, when the non-ECM image information is received from the transmission side, the error information of the line output from the communication control unit 77 is calculated by the error information calculation unit 82 in units of a plurality of lines. calculate. This error information is used as an input for fuzzy inference. That is, the fuzzy inference unit 83 is provided with the current modem reception sensitivity S, gain G, and error information ER.
R and input, the reception sensitivity S obtained by the inference result,
The reception sensitivity adjusting unit 84 resets the modem 78 during communication. Here, the fuzzy inference is performed according to the fuzzy rules (1) to (7) by a preset membership function (S function, G function, ERR function).

FIG. 28 shows an embodiment of the membership function based on the error information ERR. In this embodiment, the error information ERR is defined by membership functions of three levels: small, medium and large. The membership function shown in FIG. 28 is referred to as an ERR function for the error information ERR, and is shown by a solid line when the number is small, a one-dot chain line when the number is medium, and a broken line when the number is large. . Further, although the ERR function of this embodiment defines three levels, the membership function may be defined at five levels, such as low, slightly low, medium, high, high. The level number can be set to any value.

After defining such S function, G function and ERR function as membership functions, fuzzy inference is performed by applying the rules (1) to (7) illustrated in FIG. Fuzzy inference uses M as described in FIGS.
By the in-Max centroid method, the modem reception sensitivity S, the gain G, and the error information ERR are input to the fuzzy inference unit 83, the output components of the fuzzy rules (1) to (7) are obtained, and these output components are combined. The center of gravity value is calculated above. According to this center-of-gravity value, the reception sensitivity adjusting unit 84
Thus, the reception sensitivity S of the modem 78 is automatically adjusted.

In this embodiment, the three parameters of the modem reception sensitivity S, the gain G, and the error information ERR are used as the input parameters of the fuzzy inference unit 83. However, the gain G is not always required to be input, and the modem reception sensitivity S is not necessary. And error information E
It is also possible to make a fuzzy inference using only two RRs. As described above, in this embodiment, error information is calculated when image information is received in units of a plurality of lines from the partner device, and the modem reception sensitivity is automatically determined for each partner by fuzzy inference using the error information ERR as an input parameter. Since the adjustment is performed, it is possible to prevent the occurrence of an error due to the low modem reception sensitivity S and improve the communication quality, and to prevent the improper downshifting of the modem rate to shorten the communication time and reduce the communication cost. Is possible.

The invention according to claim 14 will be described below based on examples. FIG. 27 is a block diagram showing a modem transmission level automatic adjustment block according to the invention of claim 14. In this embodiment, the same components as those in the above-mentioned example are designated by the same reference numerals, and the detailed description thereof will be omitted.
First, the configuration will be described. In FIG. 27, when the communication control unit 77 receives the image information for one page, the error information calculation unit 82 calculates the error information based on the number of error-received frames. And in this embodiment,
This error information ERR is replaced with the gain G which is one of the input parameters of the fuzzy inference unit 23, or added as one of the input parameters. By calculating such error information ERR, the amount of attenuation in the line can be estimated.

Next, the operation will be described. In the present embodiment shown in FIG. 27, when the image information is received by the ECM from the transmission side, the error information for each frame output from the communication control unit 77 is output by the error information calculation unit 82 on a page-by-page basis. calculate. This error information is used as an input for fuzzy inference. That is, the fuzzy inference unit 83 is provided with the current modem reception sensitivity S, gain G, and error information ER.
R and input, the reception sensitivity S obtained by the inference result,
The reception sensitivity adjusting unit 84 resets the modem 78 during communication. Here, the fuzzy inference is performed according to the fuzzy rules (1) to (7) by a preset membership function (S function, G function, ERR function).

FIG. 28 shows an embodiment of the membership function based on the error information ERR. In this embodiment, the error information ERR is defined by the membership functions of three levels: small, medium and large. The membership function shown in FIG. 28 is referred to as an ERR function for the error information ERR, and is shown by a solid line when the number is small, a one-dot chain line when the number is medium, and a broken line when the number is large. . Further, although the ERR function of this embodiment defines three levels, the membership function may be defined at five levels, such as low, slightly low, medium, high, high. The level number can be set to any value.

After defining such S function, G function and ERR function as membership functions, fuzzy inference is performed by applying the rules (1) to (7) illustrated in FIG. Fuzzy inference uses M as described in FIGS.
By the in-Max centroid method, the modem reception sensitivity S, the gain G, and the error information ERR are input to the fuzzy inference unit 83, the output components of the fuzzy rules (1) to (7) are obtained, and these output components are combined. The center of gravity value is calculated above. According to this center-of-gravity value, the reception sensitivity adjusting unit 84
Thus, the reception sensitivity S of the modem 78 is automatically adjusted.

In the present embodiment, the three parameters of the modem reception sensitivity S, the gain G, and the error information ERR are used as the input parameters of the fuzzy inference unit 83, but the gain G is not necessarily input, and the modem reception sensitivity S is not necessarily required. And error information E
It is also possible to make a fuzzy inference using only two RRs. Thus, in the present embodiment,
The error information is calculated based on the number of frames in which an error has occurred when the page image information is received, and the error information ER
Since the modem reception sensitivity is automatically adjusted for each destination by fuzzy inference using R as an input parameter, it is possible to prevent the occurrence of an error due to the low modem reception sensitivity S and improve the communication quality. It is possible to reduce the communication cost by preventing various downshifts and reduce the communication cost.

The invention according to claim 15 will be described below based on examples. First, the configuration will be described. In FIG. 19, when the communication with the partner device is completed, the final reception sensitivity S by the reception sensitivity adjusting unit 84 is stored in association with the telephone number of the partner device. For this purpose, a storage unit for the receiving sensitivity S is provided in the RAM 76. Then, at the next communication with the partner device, the CPU 74 reads the reception sensitivity S stored in the storage unit of the RAM 76 and sets it in the modem 78 as the reception sensitivity initial value setting unit of the present embodiment.

Next, the operation will be described. 29 shows claim 1
6 is a flowchart showing a procedure for adjusting the modem reception sensitivity according to the invention described in item 5. In this flowchart, the fuzzy reasoning section 8 is provided with the modem reception sensitivity S and the error information ERR based on the embodiment of the invention described in claim 14.
3 will be described as an example in which fuzzy inference is performed.

First, when a transmission instruction is given by a user operation from the operation display section 72, communication is started. At the start of communication, the CPU 74 first identifies the partner device based on the information for identifying the partner device, for example, the input telephone number or the like (step S51). When the communication control unit 77 detects an incoming call and starts communication, for example, the other party's device is identified from information such as the telephone number or the transmission terminal identification signal TSI notified from the other device or the sender reference information TTI. Identify the phone number.

Subsequently, the CPU 74 determines that the reception sensitivity at the time of the last communication is the RAM 7 corresponding to the telephone number of the specified partner machine.
It is determined whether or not it is stored in step 6 (step S5).
2). Here, if stored, the reception sensitivity S
Is read out (step S53) and set as an initial value in the modem 78 (step S54). However, if the determination in step S52 is NO, that is, if there is no memory, the receiving sensitivity defaulted to the system is read (step S55) and set as an initial value in the modem 78.

After setting the receiving sensitivity in the modem 78, the CPU 7
4 controls the communication control unit 77 to send data (image information) for one page (step S56). The error information calculation unit 82 calculates the error information based on the number of error-received frames when the communication control unit 77 receives the image information for one page. Fuzzy inference is performed using the current modem reception sensitivity S and the error occurrence information ERR as inputs to the fuzzy inference unit 23 (step S57). The reception sensitivity S may be maintained as it is without performing inference. The fuzzy inference is performed according to the fuzzy rules (1) to (7) shown in FIG. The fuzzy inference result is transferred to the reception sensitivity adjusting unit 84 as an inference value of the modem reception sensitivity, and is set in the modem 78 by the reception sensitivity adjusting unit 84 (step S58). Although the fuzzy inference unit 83 outputs the reception sensitivity itself to the reception sensitivity adjustment unit 84 here, the same level adjustment can be performed by outputting the reception sensitivity change request (control signal), for example. Is.

After the modem reception sensitivity S obtained as described above is set in the modem 78, the CPU 74 or the communication control unit 77 determines whether there is a next page (step S59). Here, if there is the next page, the process returns to step S56 to repeat the subsequent fuzzy inference, but if it is the last page, the reception sensitivity S fuzzy inferred in step S57 is associated with the telephone number of the partner device. The data is stored in the RAM 76 (step S60), and the process ends. The modem reception sensitivity stored here is reused as an initial value for the next communication. In this flow chart, the reception sensitivity is changed on a page-by-page basis, but if ECM transmission is performed, the same page is retransmitted as well.
Level adjustment may be performed by this fuzzy reasoning.

As described above, in the present embodiment, the receiving sensitivity S automatically adjusted to a proper value by fuzzy inference is stored for each destination telephone number and used for the communication from the next time onward. The modem reception sensitivity S can be initialized, the convergence of the automatic adjustment can be speeded up, and the reliability of the modem reception sensitivity S can be improved as the communication is repeated. Hereinafter, the invention as set forth in claim 16 will be described based on examples.

First, the structure will be described. In FIG.
When the communication with the partner device is completed, the reception sensitivity adjustment unit 8
The final reception sensitivity S according to No. 4 is stored in association with the telephone number of the partner machine. For this purpose, a storage unit for the receiving sensitivity S is provided in the RAM 76. Then, at the next communication with the partner device, the CPU 74 reads the reception sensitivity S stored in the storage unit of the RAM 76 and sets it in the modem 78 as the reception sensitivity initial value setting unit of the present embodiment.

Next, the operation will be described. 29 shows claim 1
6 is a flowchart showing a procedure for adjusting modem reception sensitivity according to the invention described in item 6. In this flowchart, the fuzzy reasoning section 8 is provided with the modem reception sensitivity S and the error information ERR based on the embodiment of the invention described in claim 14.
3 will be described as an example in which fuzzy inference is performed.

First, when a transmission instruction is given by a user operation from the operation display section 72, communication is started. At the start of communication, the CPU 74 first identifies the partner device based on the information for identifying the partner device, for example, the input telephone number or the like (step S51). When the communication control unit 77 detects an incoming call and starts communication, for example, the other party is notified from information such as the telephone number or the called terminal identification signal CSI or the calling terminal identification signal CIG notified from the other party. Identify the country code of the machine.

Subsequently, the CPU 74 determines that the reception sensitivity at the time of the last communication is the RAM 7 corresponding to the country code of the specified partner machine.
It is determined whether or not it is stored in step 6 (step S5).
2). Here, if stored, the reception sensitivity S
Is read out (step S53) and set as an initial value in the modem 78 (step S54). However, if the determination in step S52 is NO, that is, if there is no memory, the receiving sensitivity defaulted to the system is read (step S55) and set as an initial value in the modem 78.

After setting the receiving sensitivity in the modem 78, the CPU 7
4 controls the communication control unit 77 to send data (image information) for one page (step S56). The error information calculation unit 82 calculates the error information based on the number of error-received frames when the communication control unit 77 receives the image information for one page. Fuzzy inference is performed using the current modem reception sensitivity S and error information ERR as inputs to the fuzzy inference unit 23 (step S57). The reception sensitivity S may be maintained as it is without performing inference. The fuzzy reasoning is based on the fuzzy rules (1) to (1) shown in FIG.
Perform according to (7). The result of the fuzzy inference performed here is a reception sensitivity adjusting unit 84 as an inference value of modem reception sensitivity.
And is set in the modem 78 by the reception sensitivity adjusting unit 84 (step S58). Although the fuzzy inference unit 83 outputs the reception sensitivity itself to the reception sensitivity adjustment unit 84 here, the same level adjustment can be performed by outputting the reception sensitivity change request (control signal), for example. Is.

After the modem reception sensitivity S obtained as described above is set in the modem 78, the CPU 74 or the communication control unit 77 determines whether there is a next page (step S59). If there is a next page, the process returns to step S56 to repeat the subsequent fuzzy inference. If it is the last page, the reception sensitivity S fuzzy inferred in step S57 is associated with the country code of the partner machine. The data is stored in the RAM 76 (step S60), and the process ends. The modem reception sensitivity stored here is reused as an initial value for the next communication. In this flow chart, the reception sensitivity is changed on a page-by-page basis, but if ECM transmission is performed, the same page is retransmitted as well.
Level adjustment may be performed by this fuzzy reasoning.

As described above, in the present embodiment, the reception sensitivity S automatically adjusted to the proper value by fuzzy inference is stored for each destination and used for the communication from the next time, so that the modem suitable for the partner machine can be used. The receiving sensitivity S can be initialized, the convergence of the automatic adjustment can be accelerated, and the reliability of the modem receiving sensitivity S can be improved as the communication is repeated. in this way,
In this embodiment, the receiving sensitivity S automatically adjusted to an appropriate value by fuzzy reasoning is stored for each destination country and used for the communication from the next time onward, so that the appropriate modem receiving sensitivity S is initially set according to the partner machine. Therefore, the convergence of the automatic adjustment can be accelerated, and the reliability of the modem reception sensitivity S can be improved as the communication is repeated.

In the above embodiments, the facsimile device is exemplified as the data communication device. However, the present invention can be applied to any other communication device having a modem such as an electronic mail device or a personal computer terminal having a communication function. It is possible. Further, in the above embodiment, the fuzzy inference example by the Min-Max centroid method has been described, but this is an example of the fuzzy inference.
The modem transmission level L may be automatically adjusted according to another fuzzy rule.

[0150]

As described above, according to the data communication apparatus of the first aspect of the present invention, the transmission level of the signal output from the modem is detected by the level detection unit and the data is transmitted page by page. When the error occurs, the error information calculation unit calculates the occurrence rate of pages that have been error-received based on the response from the other device, and inputs the transmission level and the error information to the fuzzy inference unit to create multiple fuzzy rules. Apply to find each output component,
After combining these output components, the center-of-gravity value is calculated, and the level adjusting unit automatically adjusts the transmission level according to this center-of-gravity value, so that the occurrence of an error due to a low modem transmission level is prevented. It is possible to improve the communication quality, prevent the modem rate from being unduly downshifted, and shorten the communication time, thereby reducing the communication cost.

Further, according to the data communication device of the present invention, when the data for one page is transmitted in frame units, the error information calculation unit receives an error based on the response from the partner device. The ratio of the generated frames is calculated as error information, and fuzzy inference is performed by inputting the transmission level and the error information. Therefore, it is possible to prevent the occurrence of errors due to the low transmission level of the modem and improve the communication quality. It is possible to prevent an unreasonable downshift of the rate, shorten the communication time, and reduce the communication cost.

According to the data communication apparatus of the third aspect of the present invention, the change amount of the error information before and after the level adjustment by the level adjusting unit is calculated by the error change amount calculating unit, and the change amount is fuzzy inference unit. Input parameter 1
Since the fuzzy inference is performed by replacing it with the error information which is one of the two, or by adding it as one of the input parameters, it is possible to prevent the occurrence of an error due to the low transmission level of the modem and improve the communication quality. Unnecessary downshifting can be prevented, communication time can be shortened, and communication cost can be reduced.

According to the data communication apparatus of the fourth aspect of the present invention, the reception level of the signal transmitted from the partner machine is detected by the reception signal level detection section, and this reception signal level is input to the fuzzy inference section. Replace with error information that is one of the parameters, or input parameter 1
In addition, fuzzy inference is performed to prevent errors due to low modem transmission level and improve communication quality, and to prevent unreasonable downshifting of the modem rate and shorten communication time. Communication costs can be reduced.

According to the data communication apparatus of the fifth aspect of the present invention, the echo level of the signal transmitted by itself is detected by the echo level detecting section, and this echo level is set as one of the input parameters of the fuzzy inference section. Since the fuzzy inference is performed by replacing it with the error information which is one of the two, or by adding it as one of the input parameters, it is possible to prevent the occurrence of an error due to the low transmission level of the modem and improve the communication quality. Unnecessary downshifting can be prevented, communication time can be shortened, and communication cost can be reduced.

According to the data communication apparatus of the sixth aspect of the present invention, the change amount of the transmission level before and after the level adjustment by the level adjusting unit is calculated by the level change amount calculating unit, and the level change amount is fuzzy inferred. Fuzzy inference is performed by replacing with error information, which is one of the input parameters of the department, or by adding it as one of the input parameters, thus preventing the occurrence of errors due to low modem transmission level and improving communication quality. In addition, it is possible to prevent the improper downshifting of the modem rate, shorten the communication time, and reduce the communication cost.

According to the data communication device of the invention described in claim 7, since the fuzzy inference is performed by arbitrarily combining the input parameters of the fuzzy inference parts described in claims 1 to 6, the modem transmission level is set. The communication quality can be improved by preventing the occurrence of errors due to the low communication speed, and the communication time can be shortened by preventing the improper downshifting of the modem rate to reduce the communication cost.

Further, according to the data communication apparatus of the present invention, a storage unit for storing the final transmission level of the level adjusting unit in association with the telephone number of the other party is provided, and this storage unit has this storage unit. During subsequent communication with the other device, the stored transmission level is read by the transmission level initial value setting section and set as the initial value of the modem, so that an appropriate modem transmission level can be initialized according to the other device, and The adjustment can be converged more quickly, and the reliability of the modem transmission level can be improved as the communication is repeated.

According to the data communication apparatus of the present invention, the signal inputted to the modem is amplified by the signal amplifying section, the gain value is detected by the gain detecting section and stored in the storing section. The received sensitivity currently set in the modem is read, the gain value and the received sensitivity are input to the fuzzy inference unit, the output components of each are applied by applying multiple fuzzy rules, and these output components are combined. Then, the center-of-gravity value is calculated, and the reception sensitivity adjusting unit automatically adjusts the reception sensitivity of the modem according to the center-of-gravity value. Therefore, it is possible to prevent the occurrence of an error due to the low modem reception sensitivity S and improve the communication quality. In addition, it is possible to prevent an unreasonable downshift of the modem rate, shorten the communication time, and reduce the communication cost.

According to the data communication device of the tenth aspect of the invention, the gain change amount calculation unit calculates the change amount of the gain value before and after the reception sensitivity adjustment by the reception sensitivity adjustment unit, and the change amount is fuzzy. Fuzzy inference is performed by replacing the gain value which is one of the input parameters of the inference unit or by adding it as one of the input parameters, so that the occurrence of an error due to the low modem reception sensitivity S is prevented and the communication quality is improved. In addition, it is possible to improve the communication speed, prevent unreasonable downshifting of the modem rate, shorten the communication time, and reduce the communication cost.

According to the data communication apparatus of the eleventh aspect of the present invention, when one page of data is received, the error information calculation unit calculates the ratio of error reception based on the data from the modem. It is calculated as error information, and this change amount is set as 1 of the input parameter of the fuzzy inference unit.
Since the fuzzy inference is performed by replacing the gain value, which is one of the two, or by adding it as one of the input parameters, it is possible to prevent the occurrence of an error due to the low modem reception sensitivity S and improve the communication quality. It is possible to reduce the communication cost by preventing the unreasonable downshifting of the communication time.

According to the twelfth aspect of the data communication apparatus of the present invention, the error information calculation unit calculates the reception error occurrence rate of the training signal sent from the partner device, and the change amount is calculated by the fuzzy inference unit. The fuzzy inference is performed by replacing with the error information, which is one of the input parameters of, or added as one of the input parameters, so that the occurrence of errors due to the low modem reception sensitivity S is prevented and the communication quality is improved. In addition, it is possible to prevent the improper downshifting of the modem rate, shorten the communication time, and reduce the communication cost.

According to the data communication apparatus of the thirteenth aspect, when the data of a plurality of lines is received, the error information calculation unit receives an error based on the data sent from the partner device. The line ratio is calculated as error information, and fuzzy inference is performed by inputting the gain value and the error information. Therefore, it is possible to prevent the occurrence of errors due to the low modem reception sensitivity S and improve the communication quality. It is possible to reduce the communication cost by preventing the unreasonable downshifting of the communication time.

Further, according to the data communication apparatus of the fourteenth aspect of the present invention, when the data for one page is received in frame units, the error information calculation unit determines the ratio of the frames received in error. Then, the change amount is replaced with a gain value which is one of the input parameters of the fuzzy inference unit, or one of the input parameters is calculated.
In addition, since fuzzy inference is performed, it is possible to prevent the occurrence of errors due to the low modem reception sensitivity S and improve the communication quality, and to prevent the improper downshifting of the modem rate to shorten the communication time. This can be realized and the communication cost can be reduced.

According to the data communication apparatus of the fifteenth aspect of the present invention, there is provided a storage unit for storing the final reception sensitivity of the reception sensitivity adjusting unit in association with the telephone number of the partner device. At the time of subsequent communication with the partner device, the receiver sensitivity initial value setting unit reads out and sets the receiver sensitivity stored as the initial value of the modem, so that an appropriate modem receiver sensitivity S can be initialized according to the partner device. The convergence of the automatic adjustment can be speeded up, and the reliability of the modem reception sensitivity S can be improved as the communication is repeated.

According to the data communication apparatus of the sixteenth aspect of the present invention, a storage section is provided for storing the final reception sensitivity of the reception sensitivity adjusting section in association with the country code of the partner machine. At the time of subsequent communication with the country concerned, the receiving sensitivity initial value setting unit reads out and sets the receiving sensitivity stored as the initial value of the modem, so that an appropriate modem receiving sensitivity S can be initialized according to the partner device. The convergence of the automatic adjustment can be speeded up, and the reliability of the modem reception sensitivity S can be improved as the communication is repeated.

[Brief description of drawings]

FIG. 1 is a block diagram showing a facsimile apparatus as a data communication apparatus according to an embodiment of the invention described in any one of claims 1 to 8.

FIG. 2 is a block diagram showing a modem transmission level automatic adjustment block according to the invention of claim 1;

FIG. 3 is an example of a membership function based on the current modem transmission level L.

FIG. 4 is an example of a membership function based on error information ER of the other party.

FIG. 5 is a membership function diagram showing an inference operation according to fuzzy rules (1) to (3).

FIG. 6 is a membership function diagram showing inference operations according to fuzzy rules (4) and (5) and final inference values.

FIG. 7 is a block diagram showing a block for automatically adjusting a modem transmission level according to the invention described in claim 2;

FIG. 8 is an example of a membership function based on a ratio of error frames (error information PPR) notified by a retransmission request PPR from a partner device.

FIG. 9 is an example of a membership function based on a change amount ΔER of error information.

FIG. 10 is a block diagram showing a block for automatically adjusting a modem transmission level according to the invention described in claim 3;

FIG. 11 is a block diagram showing a modem transmission level automatic adjustment block according to the invention as defined in claim 4;

FIG. 12 is an example of a membership function based on a received signal level RL.

FIG. 13 is an example of a membership function based on an echo level EL.

FIG. 14 is a configuration diagram showing an automatic adjustment block of a modem transmission level according to the invention described in claim 5;

FIG. 15 is a block diagram showing an automatic adjustment block of a modem transmission level according to the invention of claim 6;

16 is an example of a membership function based on a change amount ΔL of a modem transmission level L. FIG.

FIG. 17 is a diagram showing input / output signals of a fuzzy inference section according to the invention as recited in claim 7;

FIG. 18 is a flow chart showing a procedure for adjusting a transmission level of a modem according to the present invention.

FIG. 19 is a block diagram showing a facsimile apparatus as a data communication apparatus according to an embodiment of the invention described in any one of claims 9 to 16.

FIG. 20 is a configuration diagram showing an automatic adjustment block of modem reception sensitivity according to the invention of claim 9;

FIG. 21 is an example of a membership function based on the current modem reception sensitivity S.

FIG. 22 is an example of a membership function based on the gain G of the signal amplification unit.

FIG. 23 is a membership function diagram showing an inference operation according to fuzzy rules (1) to (4).

FIG. 24 is a membership function diagram showing inference operations according to fuzzy rules (5) to (7) and final inference values.

FIG. 25 is a configuration diagram showing a block for automatically adjusting modem reception sensitivity according to the invention of claim 10;

FIG. 26 is an example of a membership function based on a change amount ΔG of a gain G.

FIG. 27 is a configuration diagram showing an automatic adjustment block of modem reception sensitivity according to the invention described in claims 11 to 14.

FIG. 28 is an example of a membership function based on error information ERR.

FIG. 29 is a flowchart showing a procedure for adjusting the modem reception sensitivity according to the invention described in claims 15 to 16;

[Explanation of symbols]

 14 CPU (sending level initial value setting unit) 16 RAM (storage unit) 17 Communication control unit 18 Modem 21 Level detection unit 22 Error information calculation unit 23 Fuzzy inference unit 24 Level adjustment unit 31 Error change amount calculation unit 41 Received signal level detection Part 51 Echo level detection part 61 Level change amount calculation part 74 CPU (reception sensitivity initial value setting part) 76 RAM (storage part) 77 Communication control part 78 Modem 81 Gain detection part 82 Error information calculation part 83 Fuzzy inference part 84 Reception sensitivity Adjustment unit 85 Gain change amount calculation unit 81 Signal amplification unit

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Tanaka Regular 1-3-6 Nakamagome, Ota-ku, Tokyo Inside Ricoh Co., Ltd.

Claims (16)

[Claims] 1. A data communication device comprising a communication control unit for controlling data communication according to a predetermined protocol, and a modem for modulating / demodulating the communication data. A level detection for detecting a transmission level of a signal output from the modem. Section and an error information calculation section that calculates the occurrence rate of error-received pages as error information based on the response from the other device when data is transmitted in page units. Applying multiple fuzzy rules as inputs to obtain each output component, synthesizing these output components, and then calculating the center of gravity value of the fuzzy inference section, and automatically adjusting the transmission level according to the calculated center of gravity value. A data communication device comprising: a level adjusting unit. 2. The data communication device according to claim 1, wherein the error information calculation unit calculates the ratio of the frames received in error based on the response from the partner when the data for one page is transmitted in frame units. A data communication device, which is calculated as error information. 3. The data communication device according to claim 1, further comprising an error change amount calculation unit for calculating a change amount of error information before and after the level adjustment by the level adjustment unit, and inputting this change amount to the fuzzy inference unit. A data communication device characterized by being replaced with error information, which is one of parameters, or being added as one of input parameters. 4. The data communication apparatus according to claim 1 or 2, further comprising a reception signal level detection unit for detecting a reception level of a signal transmitted from a partner device, the reception signal level being used as an input parameter of the fuzzy inference unit. A data communication device, which is replaced with one error information or added as one of input parameters. 5. The data communication apparatus according to claim 1 or 2, further comprising an echo level detecting section for detecting an echo level of a signal transmitted by the apparatus itself, wherein the echo level is one of the input parameters of the fuzzy inference section. A data communication device characterized by being replaced with certain error information or added as one of input parameters. 6. The data communication apparatus according to claim 1, further comprising a level change amount calculation unit for calculating the amount of change in the transmission level before and after the level adjustment unit adjusts the level, and the level change amount is stored in the fuzzy inference unit. A data communication device, which is replaced with error information, which is one of input parameters, or added as one of input parameters. 7. A data communication device for performing fuzzy inference by arbitrarily combining input parameters of the fuzzy inference units described in claims 1 to 6. 8. The data communication device according to claim 1, wherein a storage unit that stores the final transmission level by the level adjustment unit in association with the telephone number of the partner device, and the stored transmission level And a transmission level initial value setting unit for setting the above as an initial value of the modem at the time of subsequent communication with the partner device. 9. A signal for amplifying a signal input via a communication line in a data communication device comprising a communication control unit for controlling data communication according to a predetermined protocol and a modem for modulating / demodulating the communication data. An amplification unit, a gain detection unit that detects a gain value related to amplification of the signal amplification unit, a storage unit that stores the reception sensitivity set in the modem, a reception sensitivity and the gain detection that are stored in the storage unit. The fuzzy inference unit that calculates the center of gravity of each output component by applying the gain value detected by the unit to multiple fuzzy rules, calculates the respective output components, and calculates the center of gravity value And a receiving sensitivity adjusting unit for automatically adjusting the receiving sensitivity according to the above. 10. The data communication device according to claim 9, further comprising: a gain change amount calculation unit for calculating a change amount of the gain value detected by the gain detection unit, the change amount being used as an input parameter of the fuzzy inference unit. A data communication device characterized by being replaced with one gain value or being added as one of input parameters. 11. The data communication device according to claim 9, further comprising: an error information calculation unit that calculates, as error information, a generation rate of error-received pages when data is received in page units. Is replaced with a gain value which is one of the input parameters of the fuzzy inference unit, or is added as one of the input parameters. 12. The data communication device according to claim 11, further comprising: an error information calculation unit that calculates, as error information, a reception error occurrence rate of a training signal transmitted from a partner device within a specific time, and the change A data communication device, characterized in that the quantity is replaced with a gain value which is one of the input parameters of the fuzzy inference unit, or added as one of the input parameters. 13. The data communication device according to claim 11, further comprising: an error information calculation unit that receives image data signals of a plurality of lines sent from a partner device and calculates the occurrence rate of the received error lines as error information. , And the amount of change is replaced with a gain value which is one of the input parameters of the fuzzy inference unit, or added as one of the input parameters. 14. The data communication device according to claim 11, wherein when one page of data transmitted from the partner device is received in frame units, an error information calculation is performed to calculate the ratio of error-received frames as error information. The data communication apparatus is characterized in that the change amount is replaced with a gain value which is one of the input parameters of the fuzzy inference unit, or is added as one of the input parameters. 15. The data communication device according to claim 9, wherein a storage unit stores the final reception sensitivity of the reception sensitivity adjusting unit in association with the telephone number of the other device, and the stored reception. A receiving sensitivity initial value setting unit that sets the sensitivity as the initial value of the modem when communicating with the other party later,
A data communication device comprising: 16. The data communication device according to claim 9, wherein a storage unit stores the final reception sensitivity of the reception sensitivity adjusting unit in association with the country code of the other device, and the stored reception. A data communication device, comprising: a reception sensitivity initial value setting unit that sets the sensitivity as an initial value of a modem during subsequent communication with the country.