CN116929437B

CN116929437B - Sensor information identification method and device applied to cell formation component system

Info

Publication number: CN116929437B
Application number: CN202311188717.9A
Authority: CN
Inventors: 陈燚平; 陈成; 华麟; 李东升
Original assignee: Shenzhen Herunda Technology Co ltd
Current assignee: Shenzhen Herunda Technology Co ltd
Priority date: 2023-09-15
Filing date: 2023-09-15
Publication date: 2023-12-08
Anticipated expiration: 2043-09-15
Also published as: CN116929437A

Abstract

The invention discloses a sensor information identification method and a device applied to a cell formation component system, wherein the method comprises the following steps: the voltage bias module provides bias voltage for a sensor to be identified which is connected to the sensor identification device; the signal processing module acquires the current voltage output by the sensor to be identified under the bias voltage, and performs data processing operation on the current voltage according to the information to be identified to obtain a data processing result; the data analysis module performs data analysis operation based on the data processing result to obtain an identification result; the recognition results include type recognition results and/or status recognition results. Therefore, the method and the device can improve the comprehensiveness and rationality of the sensor information identification method, further improve the accuracy and reliability of the sensor identification result, and further improve the flexibility and diversity of the sensor information identification, and further improve the identification efficiency and convenience of the sensor.

Description

Sensor information identification method and device applied to cell formation component system

Technical Field

The invention relates to the technical field of automatic production lines of new energy power batteries, in particular to a sensor information identification method and device applied to a cell formation component system.

Background

Along with the application of the automatic production line of the power battery, how to improve the formation and capacity-dividing efficiency is also more and more important. In practical application, the battery cell of the lithium battery must be charged and activated after the assembly is completed, and the first charging process of the battery cell is called formation, and is used for activating the active material in the battery cell to generate an SEI film (i.e. SolidElectrolyte Interface, solid electrolyte interface film). The battery cells are subjected to formation and then are subjected to capacity division, and the capacity division is to charge and discharge the formed battery cells so as to detect the performance of the battery cells, so that the battery cells are conveniently graded and assembled according to the capacity.

In the process of forming and dividing the battery cell, different types of data are required to be acquired through different types of sensors, so that effective management of the process of forming and dividing the battery cell is facilitated, and in addition, the types of the sensors are various, so that the types of the sensors are required to be accurately identified. The existing sensor type identification mode mainly comprises that an identification port of a sensor can only identify one sensor type, the identification convenience of the sensor type is low, and only when the sensor type accessed to the identification port is matched with the sensor type allowed to be accessed by the identification port, the related data acquired in the process of dividing the battery cell into components is accurate, however, whether the sensor type accessed to the identification port is accurate or not can only be judged by manual analysis of staff at present, the identification efficiency is low, and the identification accuracy is low.

Therefore, the current sensor type recognition mode has the problems of low recognition convenience, low recognition efficiency and low recognition accuracy.

Disclosure of Invention

The invention aims to solve the technical problem of providing a sensor information identification method and device applied to a cell formation component system, which can improve the identification convenience, the identification efficiency and the identification accuracy of the sensor information applied to the cell formation component system.

In order to solve the above technical problems, a first aspect of the present invention discloses a sensor information identification method applied to a cell formation component system, the method is applied to a sensor information identification device, wherein the sensor information identification device includes a voltage bias module, a signal processing module and a data analysis module, and the method includes:

the voltage bias module provides bias voltage for a sensor to be identified which is connected with the sensor identification device;

the signal processing module acquires the current voltage output by the sensor to be identified under the bias voltage, and executes data processing operation matched with the information to be identified on the current voltage according to the determined information to be identified to obtain a data processing result corresponding to the current voltage;

The data analysis module performs data analysis operation based on the data processing result to obtain an identification result of the information to be identified, which corresponds to the sensor to be identified;

the identification result of the information to be identified comprises a type identification result of the sensor to be identified and/or a state identification result of the sensor to be identified.

In an optional implementation manner, in a first aspect of the present invention, the data analysis module performs a data analysis operation based on the data processing result to obtain a recognition result of the information to be recognized corresponding to the sensor to be recognized, where the recognition result includes:

when the information to be identified is used for representing the type identification of the sensor to be identified, a target data set matched with the data processing result is screened from at least two preset data sets according to the data processing result;

determining a sensor type matched with the target data set according to the target data set;

determining the recognition result of the information to be recognized corresponding to the sensor to be recognized according to the sensor type;

wherein, when the target data set is [ -2.5,0], the sensor type matched with the target data set is PT100 type; when the target data set is [0,2.5], the sensor type matched with the target data set is PT1000 type.

when the information to be identified is used for representing the state identification of the sensor to be identified, normalization operation is carried out on the data processing result, and a normalization result is obtained;

determining the switching value matched with the normalization result according to the normalization result;

determining a sensor switch state matched with the switch quantity according to the switch quantity;

determining the recognition result of the information to be recognized corresponding to the sensor to be recognized according to the sensor switch state;

when the switching value is 0, the switch state of the sensor matched with the switching value is in a closed state; when the switching value is 1, the switching state of the sensor matched with the switching value is an open state.

In a first aspect of the present invention, after the data analysis module performs a data analysis operation based on the data processing result to obtain a recognition result of the information to be recognized corresponding to the sensor to be recognized, the method further includes:

When the identification result comprises a type identification result of the sensor to be identified, the data analysis module analyzes a temperature result of the sensor to be identified according to the type identification result and the data processing result;

and the data analysis module analyzes the temperature result of the sensor to be identified according to the type identification result and the data processing result, and comprises the following steps:

and calculating the resistance result of the sensor to be identified according to the type identification result and the data processing result, and determining the temperature result of the sensor to be identified according to the resistance result and a set temperature resistance characteristic table.

In an optional implementation manner, in a first aspect of the present invention, the signal processing module performs, according to the determined information to be identified, a data processing operation matched with the information to be identified on the current voltage, to obtain a data processing result corresponding to the current voltage, where the data processing result includes:

performing filtering processing operation on the current voltage to obtain a first voltage processing result;

according to the set first sampling voltage processing requirement, amplifying the first voltage processing result to obtain a second voltage processing result;

And executing adjustment processing operation on the second voltage processing result according to the set second sampling voltage processing requirement to obtain a data processing result corresponding to the current voltage.

In a first aspect of the present invention, before the signal processing module performs, according to the determined information to be identified, a data processing operation matched with the information to be identified on the current voltage, so as to obtain a data processing result corresponding to the current voltage, the method further includes:

the signal processing module determines information to be identified;

and the signal processing module determines information to be identified, including:

acquiring a last sensor information identification flow of the sensor identification device, and determining a last identification parameter of the sensor identification device according to the last sensor information identification flow;

collecting a current sensor information identification flow of the sensor identification device, and determining a first current identification parameter of the sensor identification device according to the current sensor information identification flow;

acquiring execution progress information of the sensor identification device based on the current sensor information identification flow, and determining a second current identification parameter of the sensor identification device according to the execution progress information;

And determining the information to be identified according to the previous identification parameter, the first current identification parameter and the second current identification parameter.

As an optional implementation manner, in the first aspect of the present invention, after the signal processing module determines the information to be identified, the method further includes:

the data analysis module collects identification parameter selection instructions aiming at the to-be-identified sensor and determines first requirement identification parameters of the to-be-identified sensor according to the identification parameter selection instructions;

the data analysis module performs information analysis operation based on the information to be identified to obtain a second requirement identification parameter of the sensor to be identified;

the data analysis module judges whether the first requirement identification parameter is matched with the second requirement identification parameter;

when the first requirement identification parameter is not matched with the second requirement identification parameter, the data analysis module executes adjustment operation on the information to be identified and the identification flow corresponding to the information to be identified based on the first requirement identification parameter to obtain an adjustment result;

the data analysis module and the signal processing module execute corresponding sensor information identification operation based on the adjustment result;

Wherein the first demand identification parameter and the second demand identification parameter both comprise a sensor type identification parameter and/or a sensor state identification parameter.

The invention discloses a sensor information identification device applied to a cell formation component system, which comprises a voltage bias module, a signal processing module and a data analysis module, wherein the voltage bias module comprises a voltage providing module, the signal processing module comprises a voltage acquisition module and a processing result determining module, and the data analysis module comprises an identification result determining module, wherein:

the voltage supply module is used for supplying bias voltage to a sensor to be identified which is connected with the sensor identification device;

the voltage acquisition module is used for acquiring the current voltage output by the sensor to be identified under the bias voltage;

the processing result determining module is used for executing data processing operation matched with the information to be identified on the current voltage according to the determined information to be identified, and obtaining a data processing result corresponding to the current voltage;

the recognition result determining module is used for carrying out data analysis operation based on the data processing result to obtain a recognition result of the information to be recognized, which corresponds to the sensor to be recognized;

In a second aspect of the present invention, the manner in which the identification result determining module performs the data analysis operation based on the data processing result to obtain the identification result of the information to be identified corresponding to the sensor to be identified specifically includes:

As an optional implementation manner, in the second aspect of the present invention, the data analysis module further includes a temperature result determination module, wherein:

The temperature result determining module is further configured to perform a data analysis operation based on the data processing result by the identification result determining module, and after obtaining an identification result of the information to be identified corresponding to the sensor to be identified, and when the identification result includes a type identification result of the sensor to be identified, the data analysis module analyzes a temperature result of the sensor to be identified according to the type identification result and the data processing result;

and the temperature result determining module analyzes the temperature result of the sensor to be identified according to the type identification result and the data processing result, wherein the method specifically comprises the following steps:

In a second aspect of the present invention, the processing result determining module performs, according to the determined information to be identified, a data processing operation matched with the information to be identified on the current voltage, and the manner of obtaining a data processing result corresponding to the current voltage specifically includes:

As an optional implementation manner, in the second aspect of the present invention, the signal processing module further includes an information determining module, where:

the information determining module is used for determining the information to be identified before the data processing operation matched with the information to be identified is carried out on the current voltage by the processing result determining module according to the determined information to be identified to obtain a data processing result corresponding to the current voltage;

the method for determining the information to be identified by the information determining module specifically comprises the following steps:

In a second aspect of the present invention, the data analysis module further includes a parameter determination module, a judgment module, an adjustment module, and a first execution module, and the information processing module further includes a second execution module, where:

the parameter determining module is used for collecting an identification parameter selection instruction aiming at the sensor to be identified after the information determining module determines the information to be identified, and determining a first requirement identification parameter of the sensor to be identified according to the identification parameter selection instruction;

the parameter determining module is further used for performing information analysis operation based on the information to be identified to obtain a second requirement identification parameter of the sensor to be identified;

The judging module is used for judging whether the first requirement identification parameter is matched with the second requirement identification parameter;

the adjusting module is configured to execute an adjusting operation on the information to be identified and an identification flow corresponding to the information to be identified based on the first requirement identification parameter when the judging module judges that the first requirement identification parameter is not matched with the second requirement identification parameter, so as to obtain an adjusting result;

the first execution module is used for executing corresponding sensor information identification operation based on the adjustment result;

the second execution module is used for executing corresponding sensor information identification operation based on the adjustment result;

A third aspect of the invention discloses a voltage bias module, the production system comprising:

a memory storing executable program code;

a processor coupled to the memory;

the processor invokes the executable program code stored in the memory to perform the operations performed by the voltage bias module in the sensor information identification method applied to the cell-based component system disclosed in the first aspect of the present invention.

In a fourth aspect, the invention discloses a signal processing module, the production system comprising:

a memory storing executable program code;

a processor coupled to the memory;

the processor invokes the executable program code stored in the memory to perform the operations performed by the signal processing module in the sensor information identification method applied to the cell-based component system disclosed in the first aspect of the present invention.

In a fifth aspect, the invention discloses a data analysis module, the production system comprising:

a memory storing executable program code;

a processor coupled to the memory;

the processor invokes the executable program code stored in the memory to perform the operations performed by the data analysis module in the sensor information identification method applied to the cell-based component system disclosed in the first aspect of the present invention.

A sixth aspect of the present invention discloses a computer storage medium storing computer instructions for performing the operations performed by the voltage bias module in the sensor information identification method for a cell-based component system disclosed in the first aspect of the present invention when the computer instructions are called.

A seventh aspect of the present invention discloses a computer storage medium storing computer instructions for executing operations performed by a signal processing module in the sensor information identification method for a cell-based component system disclosed in the first aspect of the present invention when the computer instructions are called.

A seventh aspect of the present invention discloses a computer storage medium storing computer instructions for performing operations performed by a data analysis module in the sensor information identification method for a cell-based component system disclosed in the first aspect of the present invention when the computer instructions are called.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

the method is applied to a sensor information identification device, wherein the sensor information identification device comprises a voltage bias module, a signal processing module and a data analysis module, and the voltage bias module provides bias voltage for a sensor to be identified, which is connected to the sensor identification device; the signal processing module acquires the current voltage output by the sensor to be identified under the bias voltage, and executes data processing operation matched with the information to be identified on the current voltage according to the determined information to be identified to obtain a data processing result corresponding to the current voltage; the data analysis module performs data analysis operation based on the data processing result to obtain an identification result of the information to be identified, which corresponds to the sensor to be identified; the identification result of the information to be identified comprises a type identification result of the sensor to be identified and/or a state identification result of the sensor to be identified. Therefore, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and rationality of the sensor information identification method, further beneficial to improving the accuracy and reliability of the determined sensor identification result, further beneficial to improving the identification accuracy and the identification reliability of the sensor and the sensor information, further beneficial to intelligently realizing the identification of different sensor information based on the same sensor identification device, beneficial to improving the identification flexibility and the identification diversity of the sensor information, further beneficial to improving the identification efficiency and the identification convenience of the sensor and the sensor information, and further beneficial to improving the use experience of users.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic flow chart of a sensor information identification method applied to a cell formation component system according to an embodiment of the present invention;

FIG. 2 is a flow chart of another method for identifying sensor information applied to a cell-forming composition system according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a sensor information identification device applied to a cell formation component system according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of another sensor information identification device applied to a cell-based component system according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of a voltage bias module according to an embodiment of the present invention;

fig. 6 is a schematic structural diagram of a signal processing module according to an embodiment of the present invention;

FIG. 7 is a schematic diagram of a data analysis module according to an embodiment of the present invention;

FIG. 8 is a flow chart of a method for determining a sensor temperature result for a battery cell formation component system according to an embodiment of the present invention;

fig. 9 is a schematic circuit diagram of a sensor information identification method applied to a cell formation component system according to an embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or article.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

The invention discloses a sensor information identification method and device applied to a cell formation component system, which can provide bias voltage through a voltage bias module, execute data processing operation matched with information to be identified through a signal processing module and acquire the identification result of the sensor to be identified through data analysis operation by a data analysis module based on the data processing result. The following will describe in detail.

Example 1

Referring to fig. 1, fig. 1 is a flow chart of a sensor information identification method applied to a battery cell formation component system according to an embodiment of the invention. The method described in fig. 1 may be applied to a sensor information identifying apparatus, where the sensor information identifying apparatus includes a voltage bias module, a signal processing module, and a data analysis module, and embodiments of the present invention are not limited. As shown in fig. 1, the sensor information identification method applied to the cell formation component system includes the following operations:

101. the voltage bias module provides bias voltage to a sensor to be identified which is connected to the sensor identification device.

Alternatively, the sensor to be identified that is connected to the sensor identification device can be understood as: the sensor of the sensor identification interface of the access sensor identification device is not limited in the embodiment of the invention.

Further optionally, the sensors for different sensors and for different information to be identified can be connected to the same sensor identification interface of the sensor identification device, so that the situation that the sensor identification is inaccurate due to the fact that the sensor is connected to the identification interface in an incorrect manner is avoided to a certain extent, and the embodiment of the invention is not limited.

102. The signal processing module acquires the current voltage output by the sensor to be identified under the bias voltage, and executes data processing operation matched with the information to be identified on the current voltage according to the determined information to be identified, so as to obtain a data processing result corresponding to the current voltage.

Optionally, the signal processing module collects the current voltage output by the sensor to be identified under the bias voltage, which can be understood as: the voltage bias module gives a certain bias voltage to the accessed sensor to be identified, and the sensor to be identified outputs a voltage signal, and the output voltage signal is the current voltage.

Optionally, the information to be identified may include, but is not limited to, identification parameter information of the sensor to be identified, and/or information capable of reflecting an identification parameter of the sensor to be identified.

Optionally, according to the determined information to be identified, performing a data processing operation matched with the information to be identified on the current voltage to obtain a data processing result corresponding to the current voltage, which can be understood as: according to the information to be identified, performing data processing operations (such as filtering processing operations, amplifying processing operations and the like) on the current voltage to obtain a voltage signal (namely a data processing result) capable of meeting the requirement of sampling by a data analysis module (such as an MCU).

103. The data analysis module performs data analysis operation based on the data processing result to obtain a recognition result of the information to be recognized, which corresponds to the sensor to be recognized; the identification result of the information to be identified comprises a type identification result of the sensor to be identified and/or a state identification result of the sensor to be identified.

Optionally, performing data analysis operation based on the data processing result to obtain a recognition result of the information to be recognized corresponding to the sensor to be recognized may be understood as: the data analysis module (such as an MCU) samples the output voltage (i.e. the data processing result) of the signal processing module, calculates the interface voltage of the sensor to be identified based on the sensor interface according to the output voltage, and determines the sensor type and/or the sensor state (i.e. the identification result) of the sensor to be identified according to the interface voltage.

Optionally, the circuit schematic diagrams corresponding to the voltage bias module, the signal processing module and the data analysis module may be referred to, but are not limited to, those shown in fig. 9.

Optionally, the method and the device not only can be used for identifying the type and/or the state of the sensor, but also can be used for identifying other information of the sensor, and the embodiment of the invention is not limited.

Therefore, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and rationality of the sensor information identification mode, further beneficial to improving the accuracy and reliability of the determined sensor identification result, further beneficial to improving the identification accuracy and reliability of the sensor and the sensor information, further beneficial to improving the identification flexibility and identification diversity of the sensor information and further beneficial to improving the identification efficiency and identification convenience of the sensor and the sensor information and further beneficial to improving the use experience of users.

In an optional embodiment, the data analysis module performs a data analysis operation based on a data processing result to obtain an identification result of the information to be identified corresponding to the sensor to be identified, and may include:

When the information to be identified is used for representing the type identification of the sensor to be identified, screening a target data set matched with the data processing result from at least two preset data sets according to the data processing result;

determining the recognition result of the information to be recognized corresponding to the sensor to be recognized according to the type of the sensor;

wherein, when the target data set is [ -2.5,0], the sensor type matched with the target data set is PT100 type; when the target data set is [0,2.5], the sensor type matching the target data set is the PT1000 type.

Optionally, the data set may include, but is not limited to, one or more of a data interval, a data combination of a plurality of regular data components, a data combination of a plurality of irregular data components, and the like, which are not limited by the embodiment of the present invention.

Alternatively, the data set of [ -2.5,0] may be understood as the voltage interval [ -2.5v,0v ], and the data set of [0,2.5] may be understood as the voltage interval [0v,2.5v ], but the embodiment of the present invention is not limited thereto.

Optionally, according to different to-be-identified information and different numerical meanings represented by the data processing result, the corresponding numerical meanings of the data set are different, and the embodiment of the invention is not limited.

Optionally, the data processing results, the target data set, and the sensor type, for example: when the data processing result is used for representing 1V voltage, the target data set is [0V,2.5V ], and the sensor type of the sensor to be identified is PT1000 type; when the data processing result is used for representing the-1V voltage, the target data set is [ -2.5V,0V ], the sensor type of the sensor to be identified is PT100 type, and other conditions are similarly available, and the description is not repeated here.

It can be seen that this alternative embodiment can provide a targeted recognition result determining operation for the sensor type recognition for the recognition result determining method in which the information to be recognized is used to indicate that the type recognition of the sensor to be recognized matches. In this way, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and rationality of the identification result determination method, and improving the pertinence and flexibility of the identification result determination method, and further beneficial to improving the accuracy and reliability of the identification result for the sensor type identification, thereby being beneficial to improving the identification accuracy and the identification reliability of the sensor type, and further beneficial to improving the identification accuracy and the identification reliability of the sensor and the sensor information.

In another optional embodiment, the data analysis module performs a data analysis operation based on a data processing result to obtain a recognition result of the information to be recognized corresponding to the sensor to be recognized, and may include:

determining a sensor switch state matched with the switch value according to the switch value;

determining an identification result of the information to be identified corresponding to the sensor to be identified according to the state of the sensor switch;

when the switching value is 0, the switch state of the sensor matched with the switching value is in a closed state; when the switching value is 1, the sensor switching state that matches the switching value is the on state.

Further optionally, performing a normalization operation on the data processing result to obtain a normalized result may include:

judging whether the data processing result meets the preset normalized data condition or not;

when the judgment result is yes, determining a normalization result to be used for representing normalization;

and when the judgment result is negative, determining that the normalization result is used for indicating non-normalization.

Optionally, the normalization data condition is satisfied, that is, when the data value represented by the data processing result is in the data set corresponding to the normalization data condition, the data processing result satisfies the preset normalization data condition; or when the data value represented by the data processing result is not in the data set corresponding to the normalized data condition, the data processing result meets the preset normalized data condition, and the embodiment of the invention is not limited.

Optionally, the result, the switching value, and the sensor switching state are normalized, for example: when the normalization result is used for representing normalization, the switching value is 1, and the sensor switch state of the sensor to be identified is an open state; when the normalization result is used for indicating that the normalization result is not normalized, the switching value is 0, and the sensor switch state of the sensor to be identified is the off state.

Optionally, according to the actual requirements and settings, the mapping relationship among the normalized result, the switching value and the sensor switching state may be different, that is: when the normalization result is used for indicating normalization, the switching value is 0, the sensor switch state of the sensor to be identified is an open state, and the like, and the embodiment of the invention is not limited.

It can be seen that this alternative embodiment can provide a targeted recognition result determining operation for the sensor state recognition for the recognition result determining method that the information to be recognized is used to represent that the state recognition of the sensor to be recognized matches. In this way, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and rationality of the identification result determination method, and improving the pertinence and flexibility of the identification result determination method, and further beneficial to improving the accuracy and reliability of the identification result for sensor state identification, thereby being beneficial to improving the identification accuracy and the identification reliability of the sensor state, and further beneficial to improving the identification accuracy and the identification reliability of the sensor and the sensor information.

In yet another alternative embodiment, after the data analysis module performs the data analysis operation based on the data processing result to obtain the identification result of the information to be identified corresponding to the sensor to be identified, the method may further include the following operations:

when the identification result comprises a type identification result of the sensor to be identified, the data analysis module analyzes a temperature result of the sensor to be identified according to the type identification result and the data processing result.

Optionally, the operation flow of the data analysis module for determining the temperature result of the sensor to be identified may refer to, but is not limited to, the operation flow shown in fig. 8 of the specification, and the embodiment of the invention is not limited.

It can be seen that this alternative embodiment is capable of determining the temperature result of the sensor based on the sensor type identification result and the data processing result, providing an intelligent sensor temperature determination method. In this way, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness, the functionality and the applicability of the sensor information identification method, further beneficial to improving the identification diversity and the identification flexibility of the sensor information, further beneficial to improving the utility of the identification result of the determined sensor type, further beneficial to improving the rationality and the pertinence of the determined parameters of the sensor temperature, and further beneficial to improving the accuracy and the reliability of the determined sensor temperature result.

In still another optional embodiment, the data analysis module analyzes the temperature result of the sensor to be identified according to the type identification result and the data processing result, and may include:

and calculating a resistance result of the sensor to be identified according to the type identification result and the data processing result, and determining a temperature result of the sensor to be identified according to the resistance result and a set temperature resistance characteristic table.

Optionally, the resistance result, the type recognition result and the data processing result of the sensor to be recognized may be understood as that the resistance values corresponding to different voltage values of different sensor types are different, for example: the maximum value of the resistance value of the sensor with the sensor type PT100 is 300 omega, and the minimum value of the resistance value of the sensor with the sensor type PT1000 is 800 omega.

Alternatively, the temperature result may be determined by a resistance result and a temperature resistance characteristic table, which may be understood that the resistance values of different sensors are different in the whole temperature range, which is not limited in the embodiment of the present invention.

It can be seen that the alternative embodiment can determine the resistance result of the sensor to be identified according to the type identification result and the data processing result, and further determine the temperature result of the sensor to be identified. Thus, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and rationality of the sensor temperature determination method, and further beneficial to improving the accuracy and reliability of the determined sensor temperature result, thereby being beneficial to improving the temperature identification accuracy and reliability of the sensor.

In still another optional embodiment, the signal processing module performs, according to the determined information to be identified, a data processing operation matched with the information to be identified on the current voltage, to obtain a data processing result corresponding to the current voltage, and may include:

Optionally, the first sampling voltage processing requirement may be understood as a sampling voltage requirement corresponding to a data analysis module (such as MCU), which is not limited in the embodiment of the present invention; further optionally, the amplifying operation is performed on the first voltage processing result according to the set first sampling voltage processing requirement to obtain a second voltage processing result, which is illustrated by way of example: the first voltage processing result is amplified according to the sampling voltage requirement to obtain a second voltage processing result, wherein the second voltage processing result is a voltage suitable for sampling by a data analysis module (such as an MCU), and the embodiment of the invention is not limited.

Optionally, the second sampled voltage processing requirement may be understood as processing information capable of adjusting the second voltage processing result to an interface voltage of the input interface of the sensor to be identified, which is not limited by the embodiment of the present invention.

Further optionally, the performing an adjustment processing operation on the second voltage processing result according to the set second sampling voltage processing requirement to obtain a data processing result corresponding to the current voltage may be understood as: the data analysis module (such as MCU) samples the output voltage of the signal processing module (namely, the second voltage processing result) and calculates the voltage of the input interface of the sensor to be identified (namely, the data processing result); it can also be understood that: and adjusting the voltage value corresponding to the second voltage processing result to the voltage value of the input interface of the sensor to be identified to obtain a data processing result.

It can be seen that this alternative embodiment is capable of performing a filtering process operation, an amplifying process operation, and an adjusting process operation on the current voltage to obtain a data processing result. Compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and rationality of the data processing result determination method, and further beneficial to improving the pertinence and accuracy of the determined data processing result.

Example two

Referring to fig. 2, fig. 2 is a flow chart of another sensor information identification method applied to a battery cell formation component system according to an embodiment of the invention. The method described in fig. 2 may be applied to a sensor information identifying apparatus, where the sensor information identifying apparatus includes a voltage bias module, a signal processing module, and a data analysis module, and embodiments of the present invention are not limited. As shown in fig. 2, the sensor information identification method applied to the cell formation component system includes the following operations:

201. The voltage bias module provides bias voltage to a sensor to be identified which is connected to the sensor identification device.

202. The signal processing module determines information to be identified.

203. The signal processing module acquires the current voltage output by the sensor to be identified under the bias voltage, and executes data processing operation matched with the information to be identified on the current voltage according to the determined information to be identified, so as to obtain a data processing result corresponding to the current voltage.

204. The data analysis module performs data analysis operation based on the data processing result to obtain a recognition result of the information to be recognized, which corresponds to the sensor to be recognized; the identification result of the information to be identified comprises a type identification result of the sensor to be identified and/or a state identification result of the sensor to be identified.

In the embodiment of the present invention, for other descriptions of step 201 to step 204, please refer to other detailed descriptions of step 101 to step 103 in the first embodiment, and the description of the embodiment of the present invention is omitted.

Therefore, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and rationality of the sensor information identification method, further beneficial to improving the accuracy and reliability of the determined sensor identification result, further beneficial to improving the identification accuracy and the identification reliability of the sensor and the sensor information, further beneficial to improving the identification flexibility and the identification diversity of the sensor information, further beneficial to improving the identification efficiency and the identification convenience of the sensor and the sensor information, and further beneficial to improving the use experience of a user by intelligently realizing the identification of different sensor information based on the same sensor identification device; and determining the information to be identified before the information to be identified performs a data processing operation on the current voltage that matches the information to be identified. Thus, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and rationality of the sensor information identification method, and further beneficial to improving the execution rationality and execution reliability of the sensor information identification operation, thereby being beneficial to improving the identification accuracy and the identification reliability of the sensor information.

In another optional embodiment, the determining, by the signal processing module, information to be identified may include:

collecting a current sensor information identification flow of a sensor identification device, and determining a first current identification parameter of the sensor identification device according to the current sensor information identification flow;

acquiring execution progress information of a sensor identification device based on the current sensor information identification flow, and determining a second current identification parameter of the sensor identification device according to the execution progress information;

Optionally, the previous identification parameter, the first current identification parameter and the second current identification parameter all include a sensor type identification parameter and/or a sensor state identification parameter, which is not limited in the embodiment of the present invention.

Optionally, the identification parameters corresponding to different identification processes of the sensor identification device may be different, which is not limited in the embodiment of the present invention.

Optionally, the previous sensor information identification process of the sensor identification device may be understood as the identification process of the sensor identification device for the latest identified sensor, which is not limited in the embodiment of the present invention; further, the last sensor information identification process of the sensor identification device may be understood as an identified sensor identification process of the sensor identification device in a historical time period, which is not limited in the embodiment of the present invention.

Alternatively, the current sensor information identifying process of the sensor identifying device may be understood as an executed identifying process and/or an unexecuted identifying process of the sensor identifying device for the current sensor to be identified, which is not limited in the embodiment of the present invention.

Optionally, the sensor identifying device identifies the execution progress information of the process based on the current sensor information, which can be understood as the current execution status information, the current execution step information, and the like of the process for identifying the current sensor to be identified by the sensor identifying device.

Optionally, determining the information to be identified according to the previous identification parameter, the first current identification parameter, and the second current identification parameter may include:

Determining an intersection recognition parameter condition according to the previous recognition parameter, the first current recognition parameter and the second current recognition parameter;

when the intersection recognition parameter condition is used for representing that the complete intersection recognition parameter exists, determining information to be recognized according to the complete intersection recognition parameter;

when the intersection recognition parameter condition is used for representing that a part of intersection recognition parameters exist, judging whether the first current recognition parameter is matched with the second current recognition parameter or not;

when the judgment result is yes, determining a first intersection identification parameter corresponding to the first current identification parameter and the second current identification parameter, and determining information to be identified according to the first intersection identification parameter;

when the judgment result is negative, determining a second intersection recognition parameter according to the previous recognition parameter, the first current recognition parameter and the second current recognition parameter, and determining information to be recognized according to the second intersection recognition parameter;

the first intersection identification parameter, the second intersection identification parameter, and the complete intersection identification parameter all include a sensor type identification parameter and/or a sensor state identification parameter, which are not limited in the embodiment of the present invention.

It can be seen that the optional embodiment can determine the information to be identified by combining the previous sensor information identification flow, the current sensor information identification flow and the current execution process information of the sensor identification device, and provide an intelligent information determination method to be identified. In this way, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and rationality of the information to be identified determination method, further beneficial to improving the execution rationality and execution reliability of the information to be identified determination operation, further beneficial to improving the diversity and comprehensiveness of the determination parameters of the information to be identified, further beneficial to improving the accuracy and reliability of the determined information to be identified, and further beneficial to improving the accuracy and reliability of sensor identification based on the information to be identified.

In another alternative embodiment, after the signal processing module determines the information to be identified, the method may further include the operations of:

the data analysis module collects identification parameter selection instructions aiming at the sensor to be identified, and determines first required identification parameters of the sensor to be identified according to the identification parameter selection instructions;

the data analysis module performs information analysis operation based on the information to be identified to obtain second requirement identification parameters of the sensor to be identified;

when the first requirement identification parameter is not matched with the second requirement identification parameter, the data analysis module executes adjustment operation on the information to be identified and the identification process corresponding to the information to be identified based on the first requirement identification parameter, and an adjustment result is obtained;

the first requirement identification parameter and the second requirement identification parameter comprise sensor type identification parameters and/or sensor state identification parameters.

Optionally, the instruction for selecting the identification parameter of the sensor to be identified may be understood as an instruction triggered by the user for selecting the identification parameter of the sensor to be identified, which is not limited in the embodiment of the present invention.

Further optionally, when the first requirement identification parameter is determined to match the second requirement identification parameter, the data analysis module and the signal processing module continue to execute the subsequent corresponding sensor information identification step.

Optionally, the adjusting operation is performed on the information to be identified and the identification process corresponding to the information to be identified based on the first requirement identification parameter, so as to obtain an adjustment result, which can be understood as: the method and the device for identifying the information are not limited by the embodiment of the invention, and the identification parameters corresponding to the information to be identified are adjusted to be first required identification parameters, and the current identification flow executed by the sensor identification device is adjusted to be the identification flow corresponding to the first required identification parameters.

Optionally, the data analysis module and the signal processing module execute corresponding sensor information identification operation based on the adjustment result, which can be understood as: if the previously executed recognition step does not match the recognition procedure corresponding to the first requirement recognition parameter, the data analysis module and the signal processing module need to execute the previously executed recognition step and the associated recognition step again, and the data analysis module and the signal processing module execute the subsequent recognition step (i.e. the recognition procedure corresponding to the first requirement recognition parameter) based on the adjustment result, which is not limited in the embodiment of the present invention.

It can be seen that this alternative embodiment can determine whether the identification parameters are accurate, and if not, adjust the identification procedure of the sensor to be identified. Thus, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and the integrity of the sensor information identification method, further beneficial to improving the execution accuracy and the execution effectiveness of the sensor identification operation, further beneficial to improving the accuracy and the effectiveness of the determined sensor identification result and reducing unnecessary resource waste.

Example III

Referring to fig. 3, fig. 3 is a schematic structural diagram of a sensor information identification device applied to a battery cell formation component system according to an embodiment of the present invention. The apparatus described in fig. 3 may include a voltage bias module, a signal processing module, and a data analysis module, which is not limited in this embodiment of the present invention. The voltage bias module includes a voltage providing module 301, the signal processing module includes a voltage collecting module 302 and a processing result determining module 303, and the data analysis module includes an identification result determining module 304, where:

the voltage providing module 301 is configured to provide a bias voltage to a sensor to be identified that is connected to the sensor identification device.

The voltage acquisition module 302 is configured to acquire a current voltage output by the sensor to be identified under the bias voltage.

And the processing result determining module 303 is configured to perform, according to the determined information to be identified, a data processing operation matched with the information to be identified on the current voltage, so as to obtain a data processing result corresponding to the current voltage.

The recognition result determining module 304 is configured to perform a data analysis operation based on the data processing result, and obtain a recognition result of the information to be recognized corresponding to the sensor to be recognized.

Therefore, compared with the existing sensor identification method, the sensor information identification device applied to the cell formation component system described in the embodiment 3 is beneficial to improving the comprehensiveness and rationality of the sensor information identification method, further improving the accuracy and reliability of the determined sensor identification result, further improving the identification accuracy and reliability of the sensor and the sensor information, intelligently realizing the identification of different sensor information based on the same sensor identification device, improving the identification flexibility and identification diversity of the sensor information, further improving the identification efficiency and identification convenience of the sensor and the sensor information, and further improving the use experience of users.

In another alternative embodiment, the recognition result determining module 304 performs a data analysis operation based on the data processing result, and the manner of obtaining the recognition result of the to-be-recognized information corresponding to the to-be-recognized sensor specifically includes:

It can be seen that implementing the apparatus described in fig. 4 can provide a targeted recognition result determining operation for the sensor type recognition for the recognition result determining method in which the information to be recognized is used to indicate that the type recognition of the sensor to be recognized matches. In this way, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and rationality of the identification result determination method, and improving the pertinence and flexibility of the identification result determination method, and further beneficial to improving the accuracy and reliability of the identification result for the sensor type identification, thereby being beneficial to improving the identification accuracy and the identification reliability of the sensor type, and further beneficial to improving the identification accuracy and the identification reliability of the sensor and the sensor information.

It can be seen that implementing the apparatus described in fig. 4 also provides a targeted recognition result determination operation for the sensor state recognition for the recognition result determination method in which the information to be recognized is used to represent that the state recognition of the sensor to be recognized matches. In this way, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and rationality of the identification result determination method, and improving the pertinence and flexibility of the identification result determination method, and further beneficial to improving the accuracy and reliability of the identification result for sensor state identification, thereby being beneficial to improving the identification accuracy and the identification reliability of the sensor state, and further beneficial to improving the identification accuracy and the identification reliability of the sensor and the sensor information.

In yet another alternative embodiment, as shown in FIG. 4, the data analysis module further comprises a temperature result determination module 305, wherein:

the temperature result determining module 305 is further configured to, after the recognition result determining module 304 performs a data analysis operation based on the data processing result, obtain a recognition result of the information to be recognized corresponding to the sensor to be recognized, and when the recognition result includes a type recognition result of the sensor to be recognized, the data analysis module analyzes the temperature result of the sensor to be recognized according to the type recognition result and the data processing result.

It can be seen that implementing the apparatus described in fig. 4 also enables an intelligent sensor temperature determination method to be provided by determining the temperature result of the sensor based on the type recognition result and the data processing result of the sensor. In this way, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness, the functionality and the applicability of the sensor information identification method, further beneficial to improving the identification diversity and the identification flexibility of the sensor information, further beneficial to improving the utility of the identification result of the determined sensor type, further beneficial to improving the rationality and the pertinence of the determined parameters of the sensor temperature, and further beneficial to improving the accuracy and the reliability of the determined sensor temperature result.

In yet another alternative embodiment, the temperature result determining module 305 analyzes the temperature result of the sensor to be identified according to the type identification result and the data processing result by specifically including:

It can be seen that the device described in fig. 4 can also be used for determining the resistance result of the sensor to be identified according to the type identification result and the data processing result, and further determining the temperature result of the sensor to be identified. Thus, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and rationality of the sensor temperature determination method, and further beneficial to improving the accuracy and reliability of the determined sensor temperature result, thereby being beneficial to improving the temperature identification accuracy and reliability of the sensor.

In yet another alternative embodiment, the processing result determining module 303 performs, on the current voltage according to the determined information to be identified, a data processing operation matched with the information to be identified, and the manner of obtaining the data processing result corresponding to the current voltage specifically includes:

It can be seen that implementing the apparatus described in fig. 4 is also capable of performing a filtering process operation, an amplifying process operation, and an adjusting process operation on the current voltage to obtain a data processing result. Compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and rationality of the data processing result determination method, and further beneficial to improving the pertinence and accuracy of the determined data processing result.

In yet another alternative embodiment, as shown in fig. 4, the signal processing module further comprises an information determination module 306, wherein:

the information determining module 306 is configured to determine the information to be identified before the processing result determining module 303 performs a data processing operation matched with the information to be identified on the current voltage according to the determined information to be identified, and obtains a data processing result corresponding to the current voltage.

It can be seen that implementing the apparatus described in fig. 4 is also capable of determining the information to be identified before the information to be identified performs a data processing operation on the current voltage that matches the information to be identified. Thus, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and rationality of the sensor information identification method, and further beneficial to improving the execution rationality and execution reliability of the sensor information identification operation, thereby being beneficial to improving the identification accuracy and the identification reliability of the sensor information.

In yet another alternative embodiment, the manner in which the information determining module 306 determines the information to be identified specifically includes:

It can be seen that the device described in fig. 4 can also be implemented to determine the information to be identified by combining the previous sensor information identification flow, the current sensor information identification flow and the current execution process information of the sensor identification device, so as to provide an intelligent information determination method to be identified. In this way, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and rationality of the information to be identified determination method, further beneficial to improving the execution rationality and execution reliability of the information to be identified determination operation, further beneficial to improving the diversity and comprehensiveness of the determination parameters of the information to be identified, further beneficial to improving the accuracy and reliability of the determined information to be identified, and further beneficial to improving the accuracy and reliability of sensor identification based on the information to be identified.

In yet another alternative embodiment, as shown in fig. 4, the data analysis module further includes a parameter determination module 307, a judgment module 308, an adjustment module 309, and a first execution module 310, and the information processing module further includes a second execution module 311, where:

The parameter determining module 307 is configured to collect an identification parameter selection instruction for the to-be-identified sensor after the information determining module 306 determines the to-be-identified information, and determine a first required identification parameter of the to-be-identified sensor according to the identification parameter selection instruction.

The parameter determining module 307 is further configured to perform an information analysis operation based on the information to be identified, to obtain a second requirement identification parameter of the sensor to be identified.

The determining module 308 is configured to determine whether the first requirement identifying parameter matches the second requirement identifying parameter.

The adjustment module 309 is configured to execute an adjustment operation on the information to be identified and the identification procedure corresponding to the information to be identified based on the first requirement identification parameter when the determination module 308 determines that the first requirement identification parameter is not matched with the second requirement identification parameter, so as to obtain an adjustment result.

The first execution module 310 is configured to execute a corresponding sensor information identification operation based on the adjustment result.

A second execution module 311, configured to execute a corresponding sensor information identification operation based on the adjustment result;

It can be seen that the device described in fig. 4 can also determine whether the identification parameters are accurate, and if not, adjust the identification procedure of the sensor to be identified. Thus, compared with the existing sensor identification method, the method is beneficial to improving the comprehensiveness and the integrity of the sensor information identification method, further beneficial to improving the execution accuracy and the execution effectiveness of the sensor identification operation, further beneficial to improving the accuracy and the effectiveness of the determined sensor identification result and reducing unnecessary resource waste.

Example IV

Referring to fig. 5, fig. 5 is a schematic structural diagram of a voltage bias module according to an embodiment of the invention. As shown in fig. 5, the voltage bias module may include:

a memory 401 storing executable program codes;

a processor 402 coupled with the memory 401;

the processor 402 invokes the executable program code stored in the memory 401 for performing the steps performed by the voltage bias module in the sensor information identification method applied to the electrical coring component system described in the first or second embodiment.

Example five

Referring to fig. 6, fig. 6 is a schematic structural diagram of a signal processing module according to an embodiment of the invention. As shown in fig. 6, the signal processing module may include:

A memory 501 in which executable program codes are stored;

a processor 502 coupled to the memory 501;

the processor 502 invokes executable program codes stored in the memory 501 for performing the steps performed by the signal processing module in the sensor information identifying method applied to the electrical coring component system described in the first embodiment or the second embodiment.

Example six

Referring to fig. 7, fig. 7 is a schematic structural diagram of a data analysis module according to an embodiment of the invention. As shown in fig. 7, the data analysis module may include:

a memory 601 in which executable program codes are stored;

a processor 602 coupled to the memory 601;

the processor 602 invokes the executable program code stored in the memory 601 to perform the steps performed by the data analysis module in the sensor information identification method applied to the electrical coring component system described in the first or second embodiment.

Example seven

The embodiment of the invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the steps executed by a voltage bias module in the sensor information identification method applied to a cell formation component system described in the first embodiment or the second embodiment.

Example eight

The embodiment of the invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the steps executed by a signal processing module in the sensor information identification method applied to a cell-based component system described in the first embodiment or the second embodiment.

Example nine

The embodiment of the invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the steps executed by a data analysis module in the sensor information identification method applied to a cell formation component system described in the first embodiment or the second embodiment.

Examples ten

Embodiments of the present invention disclose a computer program product comprising a non-transitory computer readable storage medium storing a computer program, the computer program being operable to cause a computer to perform the steps performed by the voltage bias module in the sensor information identification method applied to a cell-based component system described in embodiment one or embodiment two.

Example eleven

The embodiment of the invention discloses a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the steps executed by a signal processing module in the sensor information identification method applied to the electrical core formation component system described in the first or second embodiment.

Example twelve

The embodiment of the invention discloses a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to make a computer execute the steps executed by a data analysis module in the sensor information identification method applied to the cell formation component system described in the first embodiment or the second embodiment.

The apparatus embodiments described above are merely illustrative, wherein the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.

Finally, it should be noted that: the embodiment of the invention discloses a sensor information identification method and a sensor information identification device applied to a cell formation component system, which are disclosed by the embodiment of the invention only for illustrating the technical scheme of the invention, but not limiting the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims

1. The sensor information identification method applied to the cell formation component system is characterized by being applied to a sensor information identification device, wherein the sensor information identification device comprises a voltage bias module, a signal processing module and a data analysis module, and the method comprises the following steps:

the identification result of the information to be identified comprises a type identification result of the sensor to be identified and/or a state identification result of the sensor to be identified;

and the data analysis module performs data analysis operation based on the data processing result to obtain an identification result of the information to be identified corresponding to the sensor to be identified, and the data analysis module comprises:

when the information to be identified is used for representing the type identification of the sensor to be identified, a target data set matched with the data processing result is screened from at least two preset data sets according to the data processing result; determining a sensor type matched with the target data set according to the target data set; determining the recognition result of the information to be recognized corresponding to the sensor to be recognized according to the sensor type;

or,

when the information to be identified is used for representing the state identification of the sensor to be identified, normalization operation is carried out on the data processing result, and a normalization result is obtained; determining the switching value matched with the normalization result according to the normalization result; determining a sensor switch state matched with the switch quantity according to the switch quantity; determining the recognition result of the information to be recognized corresponding to the sensor to be recognized according to the sensor switch state;

And the signal processing module executes data processing operation matched with the information to be identified on the current voltage according to the determined information to be identified to obtain a data processing result corresponding to the current voltage, and the signal processing module comprises the following steps:

and according to a set second sampling voltage processing requirement, performing adjustment processing operation on the second voltage processing result to obtain a data processing result corresponding to the current voltage, wherein the voltage value of the data processing result is the same as the voltage value corresponding to the input interface of the sensor to be identified.

2. The sensor information identification method applied to a cell-based component system according to claim 1, wherein when the target data set is [ -2.5,0], the sensor type matched with the target data set is PT100 type; when the target data set is [0,2.5], the sensor type matched with the target data set is PT1000 type.

3. The sensor information identification method applied to a cell formation composition system according to claim 1, wherein when the switching amount is 0, a sensor switching state matched with the switching amount is an off state; when the switching value is 1, the switching state of the sensor matched with the switching value is an open state.

4. The sensor information identification method applied to a cell-based component system according to claim 1 or 2, wherein after the data analysis module performs a data analysis operation based on the data processing result, the method further comprises:

5. The method for identifying sensor information applied to a component system for cell formation according to any one of claims 1 to 3, wherein before the signal processing module performs a data processing operation matched with the information to be identified on the current voltage according to the determined information to be identified, and obtains a data processing result corresponding to the current voltage, the method further comprises:

the signal processing module determines information to be identified;

6. The method for identifying sensor information applied to a cell-based component system of claim 5, further comprising, after the signal processing module determines the information to be identified:

7. The sensor information identification device applied to the cell formation component system is characterized by comprising a voltage bias module, a signal processing module and a data analysis module, wherein the voltage bias module comprises a voltage providing module, the signal processing module comprises a voltage acquisition module and a processing result determining module, and the data analysis module comprises an identification result determining module, wherein:

and the recognition result determining module performs data analysis operation based on the data processing result, and the manner of obtaining the recognition result of the information to be recognized corresponding to the sensor to be recognized specifically includes:

or,

And the processing result determining module performs data processing operation matched with the information to be identified on the current voltage according to the determined information to be identified, and the mode of obtaining the data processing result corresponding to the current voltage specifically comprises the following steps:

8. A sensor information identification device for use in a cell differentiation component system, the device comprising:

a memory storing executable program code;

a processor coupled to the memory;

the processor invokes the executable program code stored in the memory to perform the sensor information identification method of any one of claims 1-6 applied to a componentized system.

9. A computer storage medium storing computer instructions which, when invoked, are operable to perform the sensor information identification method of any one of claims 1-6 applied to a cell-based component system.