CN203231800U - Intelligent analogue weighing sensor - Google Patents
Intelligent analogue weighing sensor Download PDFInfo
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- CN203231800U CN203231800U CN 201320087910 CN201320087910U CN203231800U CN 203231800 U CN203231800 U CN 203231800U CN 201320087910 CN201320087910 CN 201320087910 CN 201320087910 U CN201320087910 U CN 201320087910U CN 203231800 U CN203231800 U CN 203231800U
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Abstract
The utility model discloses an intelligent analogue weighing senor, which includes: an elastic body for fixing a resistance stress plate on the elastic body; a bridge circuit board; a cable connector; and a cable with one end connected to the cable connector. The intelligent analogue weighing senor further includes: a self-diagnosis circuit board, which is connected with the signal of the bridge circuit board by the cable connector and the cable; a signal diverter, which in connected with the other end of the cable; and a sensor signal connector and a communication connector, which are connected with the signal diverter respectively. The signal diverter diverts the signal of the self-diagnosis circuit board into a sensor signal to be transmitted to the sensor signal connector and a diagnosis signal to be transmitted to the communication connector.
Description
Technical field
The utility model relates to a kind of artificial intelligence formula LOAD CELLS, relates in particular to a kind of with self-diagnostic function, the artificial intelligence formula LOAD CELLS that can report to the police and record mistake.
Background technology
Traditional analog LOAD CELLS is fixed on the resistance strain gage on the elastic body by elastic body, the group bridge circuit, and cable splice and cable are formed.When elastic body is subjected to external force generation distortion, make the also distortion simultaneously of resistance strain gage that is fixed on the elastic body, cause change in resistance, by the group bridge circuit weight signal is converted to analog electrical signal, export by cable at last.Owing to have only an electrical signal line cable joint, when sensor breaks down, must use external unit, for example multimeter overhauls sensor.Under the situation of many sensor network work, when wherein one need detect just every sensor and can find out of order sensor when breaking down, this has brought great inconvenience to maintenance work.If sensor is installed or improper use, can cause damage to sensor, shorten the serviceable life of sensor.
The utility model content
The utility model aims to provide a kind of artificial intelligence formula LOAD CELLS and self-diagnosing method thereof.The utility model can be realized the self diagnosis of fault under the situation that does not influence sensor performance, and can use the mistake of sensor and report to the police and record, has improved the efficient of safeguarding greatly, has guaranteed the serviceable life of sensor.
Particularly, according to an aspect of the present utility model, a kind of artificial intelligence formula LOAD CELLS is provided, comprise elastic body, be fixed in resistance stress section, group bridge circuit cards and cable splice on the described elastic body, and one end be connected in the cable of described cable splice, wherein this artificial intelligence formula LOAD CELLS further comprises: the self-diagnostic circuit plate is connected with described group of bridge circuit cards signal with described cable via described cable splice; The signal shunt is connected with the other end of described cable; And sensor signal joint and communication connector, be connected to described signal shunt respectively, wherein said signal shunt will be split into the sensor signal that is sent to described sensor signal joint and the diagnostic signal that is sent to described communication connector from the signal of described self-diagnostic circuit plate.
Preferably, in above-mentioned artificial intelligence formula LOAD CELLS, described self-diagnostic circuit plate forms an integral body with described signal shunt.
Preferably, in above-mentioned artificial intelligence formula LOAD CELLS, described self-diagnostic circuit plate is arranged on the described elastic body.
Preferably, in above-mentioned artificial intelligence formula LOAD CELLS, described self-diagnostic circuit plate comprises: master controller, preset resistance and the analog to digital conversion circuit, tension measuring circuit, temperature measuring circuit, data storage circuitry and the communicating circuit that connect with described master controller signal, wherein, analog-digital conversion circuit as described is connected between the output terminal and described master controller of described group of bridge circuit cards; Wherein, described tension measuring circuit is measured the pumping signal of described resistance stress section; Wherein, described temperature measuring circuit measures ambient temperature; Wherein, store one group of standard parameter value of described artificial intelligence formula LOAD CELLS in the described data storage circuitry.
Preferably, in above-mentioned artificial intelligence formula LOAD CELLS, described self-diagnostic circuit plate comprises that also one measures the measurement of angle circuit of the setting angle of this artificial intelligence formula LOAD CELLS.
Be appreciated that the sensor of the present utility model can realize the self diagnosis of fault, can use the mistake of sensor and report to the police and record, improve the maintenance efficiency of sensor and can guarantee serviceable life of sensor.Therefore, sensor of the present utility model device and diagnostic method compared to existing technology has obvious improvement.
Should be appreciated that the above generality of the utility model is described and the following detailed description all is exemplary and explanat, and be intended to provide further explanation for as claimed in claim the utility model.
Description of drawings
Comprise that accompanying drawing is for providing the utility model further to be understood, they are included and are constituted the application's a part, and accompanying drawing shows embodiment of the present utility model, and play the effect of explaining the utility model principle with this instructions.In the accompanying drawing:
Fig. 1 shows a kind of implementation of artificial intelligence formula LOAD CELLS of the present utility model.
Fig. 2 shows the another kind of implementation of artificial intelligence formula LOAD CELLS of the present utility model.
Fig. 3 illustrates in greater detail the electrical structure of foil gauge, group bridge circuit cards and self-diagnostic circuit plate.
Fig. 4 shows the synoptic diagram that adopts wireless networking diagnostic system embodiment illustrated in fig. 1.
Fig. 5 shows the synoptic diagram that adopts wired networking diagnostic system embodiment illustrated in fig. 1.
Fig. 6 is the process flow diagram according to the key step of self-diagnosing method of the present utility model.
Description of reference numerals:
101 and 201: elastic body;
102 and 202: the group bridge circuit cards;
103 and 203: foil gauge;
104 and 204: cable splice;
105 and 205: cable;
106 and 206: the self-diagnostic circuit plate;
107 and 207: the signal shunt;
108 and 208: the sensor signal joint;
109 and 209: communication connector
Embodiment
Now embodiment of the present utility model will be described with reference to the drawings in detail.Now will be in detail with reference to preferred embodiment of the present utility model, its example is shown in the drawings.In the case of any possible, in institute's drawings attached, will use identical mark to represent same or analogous part.In addition, although employed term is to select from public term in the utility model, but some mentioned terms may be that the applicant selects by his or her judgement in the utility model instructions, and its detailed meanings illustrates in the relevant portion of the description of this paper.In addition, require not only by employed actual terms, but also will understand the utility model by the meaning that each term contains.
Fig. 1 and Fig. 2 show two kinds of implementations of artificial intelligence formula LOAD CELLS of the present utility model.For example, in the embodiment shown in fig. 1, artificial intelligence formula LOAD CELLS 100 of the present utility model mainly comprises: elastic body 101, group bridge circuit cards 102, foil gauge 103, cable splice 104, cable 105, self-diagnostic circuit plate 106, signal shunt 107, sensor signal joint 108 and communication connector 109.
Particularly, in artificial intelligence formula LOAD CELLS 100 shown in Figure 1, resistance stress section 102, group bridge circuit cards 103 and cable splice 104 all are fixed on the elastic body 101.One end of cable 105 is connected in cable splice 104.
Particularly, according to the utility model, self-diagnostic circuit plate 106 via cable splice 104 and cable 105 on the same group bridge circuit cards 103 signals be connected.Signal shunt 107 is connected with the other end of cable 105.Sensor signal joint 108 and communication connector 109 are connected to this signal shunt 107 respectively.Wherein, signal shunt 107 will be split into the sensor signal that is sent to sensor signal joint 108 and the diagnostic signal that is sent to communication connector 109 from the signal of self-diagnostic circuit plate 106.
When elastic body 101 changes, cause the change in resistance of resistance strain gage 102, the signal output of group bridge circuit cards 103 also changes along with the change in resistance of this resistance strain gage 102, signal just is transferred to self-diagnostic circuit plate 106 subsequently, is used for the self diagnosis of artificial intelligence formula LOAD CELLS 100.
Preferably, in the embodiment shown in fig. 1, self-diagnostic circuit plate 106 forms an integral body with signal shunt 107.Relatively, in another embodiment shown in Figure 2, self-diagnostic circuit plate 106 is arranged on the elastic body 101.
Forward Fig. 3 now to, it illustrates in greater detail the electrical structure of foil gauge, group bridge circuit cards and self-diagnostic circuit plate.This self-diagnostic circuit plate 106 may further include: master controller 301, preset resistance (not shown) and the analog to digital conversion circuit 302, tension measuring circuit 303, temperature measuring circuit 304, data storage circuitry 305 and the communicating circuit 306 that connect with master controller 301 signals.Analog to digital conversion circuit 302 is connected between the output terminal and master controller 301 of group bridge circuit cards 103, and the output that this analog to digital conversion circuit 302 receives from group bridge circuit cards 103 is that digital data transmission is given master controller 301 with analog signal conversion.The pumping signal of tension measuring circuit 303 measuring resistance stress sections 102 sends voltage data to master controller 301.Temperature measuring circuit 304 measures ambient temperature are transferred to master controller 301 with it.Store one group of standard parameter value of artificial intelligence formula LOAD CELLS 100 in the data storage circuitry 305.Communicating circuit 306 is used for and external unit carries out command interaction, the transmission diagnostic message.Communicating circuit 306 on the self-diagnostic circuit plate 106 can be wire communication circuit or wireless communication line.The wire communication circuit can be based on the circuit of wire communication agreements such as RS232/422/485, CAN, USB, Ethernet, and wireless communication line can be based on the circuit of home control network communication protocols such as WiFi, Zigbee, RFID, WirelessUSB, GPRS.The resistance of this preset resistance preferably is set to the full scale state corresponding to artificial intelligence formula LOAD CELLS 100 of the present utility model, namely when master controller makes the simulating signal of resistance stress section flow through this preset resistance, can measure the full scale digital signal under its full scale state.
According to a preferred embodiment of the present utility model, in above-mentioned artificial intelligence formula LOAD CELLS 100, self-diagnostic circuit plate 106 can also comprise that one measures the measurement of angle circuit (not shown) of the setting angle of this artificial intelligence formula LOAD CELLS.
Be appreciated that the electrical structure of foil gauge shown in Figure 3, group bridge circuit cards and self-diagnostic circuit plate can be applicable to the embodiment of Fig. 2 equally, so the application of this embodiment repeats no more.
Be to adopt wireless networking diagnostic system synoptic diagram embodiment illustrated in fig. 1 as shown in Figure 4, the signal wire of many artificial intelligence formula LOAD CELLS is connected to the signal input part of instrument, finishes the mutual of instrument and sensor diagnostic information by wireless transmission.
Be to adopt wired networking diagnostic system synoptic diagram embodiment illustrated in fig. 1 as shown in Figure 5, the signal wire of many artificial intelligence formula LOAD CELLS is connected to the signal input part of instrument, by wired the mutual of instrument and sensor diagnostic information of finishing.
In addition, those skilled in the art will appreciate that and in a similar fashion artificial intelligence formula LOAD CELLS shown in Figure 2 to be applied in the Wireless/wired networking diagnostic system of Fig. 4 and Fig. 5.Such embodiment does not repeat them here.
Fig. 6 is the process flow diagram according to the key step of self-diagnosing method of the present utility model.This self-diagnosing method 600 is applied to the various embodiment of above-mentioned artificial intelligence formula LOAD CELLS of the present utility model.
Self-diagnosing method 600 of the present utility model mainly may further comprise the steps.At first, remove weight (step 601) on the described artificial intelligence formula LOAD CELLS.In this step 601, external unit can send order by communicating circuit makes this artificial intelligence formula LOAD CELLS enter self diagnostic mode.The analog to digital conversion change-over circuit with the resistance stress section zero point analog signal conversion for zero point digital signal be sent to master controller (step 602).Master controller should zero point digital signal compare with going out the output value zero point in described one group of standard parameter value of storing in the data storage circuitry, to determine whether to exist zero point overproof (step 603).Master controller makes the simulating signal of the resistance stress section preset resistance of flowing through, to measure the full scale digital signal (step 604) under the full scale state.Master controller goes out the output value with the full scale digital signal with the full scale in one group of standard parameter value of storing in the data storage circuitry and compares, to determine whether to exist full scale overproof (step 605).Master controller is exported result's (step 606) of above-mentioned judgement by communicating circuit.
In addition, according to a preferred embodiment of the present utility model, in above-mentioned self-diagnosing method 600, can also comprise: in the whole process of this self-diagnosing method, temperature measuring circuit is measures ambient temperature regularly, and this environment temperature is sent to master controller; This master controller compares this environment temperature with the temperature range data in one group of standard parameter value of storing in the data storage circuitry, to judge whether existing overtemperature to use; And if exist overtemperature to use, then with the overtemperature data recording in described data storage circuitry.
In addition, according to another preferred embodiment of the present utility model, the self-diagnostic circuit plate can also comprise that one measures the measurement of angle circuit of the setting angle of this artificial intelligence formula LOAD CELLS, this self-diagnosing method 600 may further include: in the whole process of self-diagnosing method, the measurement of angle circuit is regularly measured described setting angle, and this setting angle is sent to master controller; And this master controller compares this setting angle with the setting angle range data in described one group of standard parameter value of storing in the described data storage circuitry, with the installation of judging this artificial intelligence formula LOAD CELLS level whether.
On the other hand, in the self-diagnosing method 600 of the present utility model, and then described analog to digital conversion change-over circuit with described resistance stress section zero point analog signal conversion for zero point digital signal be sent to after the step 602 of described master controller, can also comprise that master controller judges whether to read the step of digital signal at zero point.
The sensor of the present utility model and self-diagnosing method thereof can realize fault self diagnosis, can use the mistake of sensor and report to the police and record, improve the maintenance efficiency of sensor and can guarantee serviceable life of sensor.
Those skilled in the art can be obvious, can carry out various modifications and variations and not depart from spirit and scope of the present utility model above-mentioned exemplary embodiment of the present utility model.Therefore, be intended to make the utility model to cover to drop in appended claims and the equivalence techniques scheme scope thereof to modification of the present utility model and modification.
Claims (5)
1. artificial intelligence formula LOAD CELLS, comprise elastic body, be fixed in resistance stress section, group bridge circuit cards and cable splice on the described elastic body, and an end is connected in the cable of described cable splice, it is characterized in that this artificial intelligence formula LOAD CELLS further comprises:
The self-diagnostic circuit plate is connected with described group of bridge circuit cards signal with described cable via described cable splice;
The signal shunt is connected with the other end of described cable; And
Sensor signal joint and communication connector are connected to described signal shunt respectively,
Wherein, described signal shunt will be split into the sensor signal that is sent to described sensor signal joint and the diagnostic signal that is sent to described communication connector from the signal of described self-diagnostic circuit plate.
2. artificial intelligence formula LOAD CELLS as claimed in claim 1 is characterized in that, described self-diagnostic circuit plate forms an integral body with described signal shunt.
3. artificial intelligence formula LOAD CELLS as claimed in claim 1 is characterized in that, described self-diagnostic circuit plate is arranged on the described elastic body.
4. artificial intelligence formula LOAD CELLS as claimed in claim 1, it is characterized in that, described self-diagnostic circuit plate comprises: master controller, preset resistance and the analog to digital conversion circuit, tension measuring circuit, temperature measuring circuit, data storage circuitry and the communicating circuit that connect with described master controller signal
Wherein, analog-digital conversion circuit as described is connected between the output terminal and described master controller of described group of bridge circuit cards.
5. artificial intelligence formula LOAD CELLS as claimed in claim 4 is characterized in that, described self-diagnostic circuit plate comprises that also one measures the measurement of angle circuit of the setting angle of this artificial intelligence formula LOAD CELLS.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201320087910 CN203231800U (en) | 2013-02-26 | 2013-02-26 | Intelligent analogue weighing sensor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201320087910 CN203231800U (en) | 2013-02-26 | 2013-02-26 | Intelligent analogue weighing sensor |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN203231800U true CN203231800U (en) | 2013-10-09 |
Family
ID=49287920
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201320087910 Withdrawn - After Issue CN203231800U (en) | 2013-02-26 | 2013-02-26 | Intelligent analogue weighing sensor |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN203231800U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104006868A (en) * | 2013-02-26 | 2014-08-27 | 梅特勒-托利多(常州)精密仪器有限公司 | Intelligent simulation type weighing sensor and self-diagnosis method thereof |
| WO2015062535A1 (en) * | 2013-11-01 | 2015-05-07 | Mettler Toledo (Changzhou) Precision Instrument Ltd. | Analog sensor with digital compensation function |
| CN104614055A (en) * | 2013-11-01 | 2015-05-13 | 梅特勒-托利多(常州)精密仪器有限公司 | Analog sensor with digital compensation function |
-
2013
- 2013-02-26 CN CN 201320087910 patent/CN203231800U/en not_active Withdrawn - After Issue
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104006868A (en) * | 2013-02-26 | 2014-08-27 | 梅特勒-托利多(常州)精密仪器有限公司 | Intelligent simulation type weighing sensor and self-diagnosis method thereof |
| WO2014131318A1 (en) * | 2013-02-26 | 2014-09-04 | 梅特勒-托利多(常州)精密仪器有限公司 | Intelligent analogue weighing sensor and self-diagnosing method thereof |
| CN104006868B (en) * | 2013-02-26 | 2016-04-13 | 梅特勒-托利多(常州)精密仪器有限公司 | Artificial intelligence formula LOAD CELLS and self-diagnosing method thereof |
| WO2015062535A1 (en) * | 2013-11-01 | 2015-05-07 | Mettler Toledo (Changzhou) Precision Instrument Ltd. | Analog sensor with digital compensation function |
| CN104614055A (en) * | 2013-11-01 | 2015-05-13 | 梅特勒-托利多(常州)精密仪器有限公司 | Analog sensor with digital compensation function |
| CN104614055B (en) * | 2013-11-01 | 2017-11-10 | 梅特勒-托利多(常州)精密仪器有限公司 | Simulation weighing sensor with digital compensation function |
| US10215617B2 (en) | 2013-11-01 | 2019-02-26 | Metter Toledo (Changzhou) Precision Instrument Ltd. | Analog sensor with digital compensation function |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| AV01 | Patent right actively abandoned |
Granted publication date: 20131009 Effective date of abandoning: 20160413 |
|
| C25 | Abandonment of patent right or utility model to avoid double patenting |