CN115357840A - Python language-based method and device for calculating equipment calculation formula and electronic equipment - Google Patents
Python language-based method and device for calculating equipment calculation formula and electronic equipment Download PDFInfo
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Abstract
The invention discloses a Python language-based equipment calculation formula calculation method, a Python language-based equipment calculation formula calculation device and electronic equipment, and belongs to the technical field of data processing. The calculation method comprises the following steps: acquiring the type of equipment, remarks of a current observation value, the current observation value, a calculation formula, a constant, an installation parameter, a manufacturer parameter, an observation early warning threshold value, a result early warning threshold value, a built-in variable, a historical observation value and a historical calculation result; comparing the historical observation value with the current observation value to obtain a first difference value; when the first difference is smaller than the observation early warning threshold value, calculating to obtain a current calculation result; comparing the historical calculation result with the current calculation result to obtain a second difference value; and when the second difference value is smaller than the result early warning threshold value, recording the current observation value, remarks and the current calculation result into a database. The invention can realize accurate management of calculation formulas, installation parameters, manufacturer parameters and calculation results.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a Python language-based equipment calculation formula calculation method, a Python language-based equipment calculation formula calculation device and electronic equipment.
Background
The calculation of the equipment result data is a key ring in the safety detection work, plays an increasingly important role in engineering construction, and the requirements of construction units on the timeliness and the accuracy of the equipment result data and the promptness of the early warning information release generated by the result data are higher and higher. The current process for calculating result values in the safety monitoring industry is as follows: manually measuring and reading by using a reading instrument on site, recording on a paper record book, and measuring and reading by one person and recording by one person; after the monitoring is collected and the record is finished, the monitoring personnel return to the office, the paper monitoring data is handed to the monitoring management personnel, the monitoring management personnel enter the paper original data into the monitoring database one by one, the management personnel inquire the operation method corresponding to the equipment, the used historical data and the corresponding parameter values, the historical data and the corresponding parameter values are entered into a plurality of professional software, the data and the analysis are obtained through computer type calculation, if the data is not abnormal, the monitoring data is arranged and submitted, if the data is abnormal, the monitoring management personnel feed back the on-site monitoring personnel, the monitoring personnel arrive on-site retest again and confirm the data, and the data is recalculated after rechecking the data.
The existing method mainly has the following problems:
(1) The calculation formula cannot use the historical observation data and the historical calculation result of the equipment as variables to participate in the calculation of new data;
(2) The calculation formulas of different types of equipment contain different variable names, and the variable names cannot be flexibly defined;
(3) The calculation process containing multiple operations is too complex and difficult to use;
(4) Personnel are required to participate in the calculation process by means of a plurality of third-party software.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a calculation method, a calculation device and electronic equipment of an equipment calculation formula based on Python language.
The purpose of the invention is realized by the following technical scheme:
according to a first aspect of the present invention, a Python language-based method for calculating a device calculation formula comprises:
acquiring the type of equipment, a current observation value and remarks of the current observation value;
acquiring a corresponding calculation formula, a constant, installation parameters, manufacturer parameters, an observation early warning threshold value and a result early warning threshold value according to the type of the equipment;
acquiring a built-in variable corresponding to equipment;
acquiring a historical observation value and a historical calculation result;
checking whether the data types of the current observed value, the constant, the installation parameter, the factory parameter and the built-in variable are numbers and whether the key value corresponding to the factory parameter is complete;
if the verification is passed, comparing the historical observed value with the latest input time with the current observed value to obtain a first difference value;
if the first difference value is smaller than the observation early warning threshold value, substituting the values of the current observed value, the constant, the installation parameter, the manufacturer parameter and the built-in variable into the calculation formula in the Python operation environment to calculate to obtain a current calculation result;
comparing the historical calculation result with the latest input time with the current calculation result to obtain a second difference value;
and if the second difference is smaller than the result early warning threshold, recording the current observation value, the remark and the current calculation result into a database.
Further, the formula is parsed using Python speech and supports Python native mathematical and logical operators.
Furthermore, the key values corresponding to the installation parameters and the manufacturer parameters are determined according to the type of the equipment.
Further, if the verification fails, first error information is generated, and the current observation value and the first error information are stored in a database.
Further, if the first difference is greater than or equal to the observation early warning threshold, the current observation value and the first difference are stored in an early warning list of the database.
Further, if the second difference is greater than or equal to the result early warning threshold, the current calculation result and the second difference are stored in an early warning list of the database.
According to a second aspect of the present invention, a computing apparatus for computing a formula in a device implemented based on Python language, comprises:
the data acquisition module is used for acquiring the type, remarks, current observed values, historical observed values and historical calculation results of the equipment, and acquiring corresponding calculation formulas, built-in variables, constants, installation parameters, manufacturer parameters, observation early warning thresholds and result early warning thresholds according to the type of the equipment;
the data checking module is used for checking whether the data types of the current observed value, the constant, the installation parameter, the factory parameter and the built-in variable are numbers and whether the key value corresponding to the factory parameter is complete;
the first difference value calculation module is used for comparing the historical observation value with the latest input time with the current observation value when the data verification module passes the verification to obtain a first difference value;
the result calculation module is used for substituting the values of the current observed value, the constant, the installation parameter, the factory parameter and the built-in variable into the calculation formula in the Python operation environment to calculate to obtain the current calculation result when the first difference value is smaller than the observation early warning threshold value;
the second difference value calculation module is used for comparing a historical calculation result with the latest input time with a current calculation result to obtain a second difference value;
and the data storage module is used for recording the current observed value, remarks and the current calculation result into the database when the second difference value is smaller than the result early warning threshold value.
Further, the data storage module is further configured to store the current observation value and the first error information generated by the data verification module in the database when the test fails, store the current observation value and the first difference value in an early warning list of the database when the first difference value is greater than or equal to the observation early warning threshold, and store the current calculation result and the second difference value in an early warning list of the database when the second difference value is greater than or equal to the result early warning threshold.
According to a third aspect of the present invention, an electronic device comprises a processor and a memory, the memory is used for storing program codes and data of the calculation method, and the processor is used for calling program instructions in the memory to execute the calculation method of the Python language-based device calculation formula according to the first aspect of the present invention.
The invention has the beneficial effects that:
(1) The calculation formula is compatible with the native mathematical operator and the logical operator of the python language, and the basic characteristics of the python language can be fully utilized to expand the calculation capability of the formula;
(2) The variable names in the calculation formula are flexibly configured, so that data such as factory parameters, installation parameters, constants and the like can be conveniently brought into the formula to participate in calculation;
(3) The process data and the historical data are simplified into variables, the process data are used more flexibly to participate in calculation, and the complexity of a formula is simplified;
(4) The remark content in the acquired data can be used for controlling the value corresponding to the variable in the calculation formula, so that the calculation under different scenes can be realized;
(5) The corresponding relations between the equipment and the parameters, the formula, the result display name and the like are maintained in the database, and the accurate management of the calculation formula, the installation parameters, the manufacturer parameters and the calculation result can be realized according to different equipment.
Drawings
FIG. 1 is a flow chart of one embodiment of a calculation method of the present invention;
FIG. 2 is a schematic diagram of one embodiment of a computing device in the present invention;
fig. 3 is a schematic diagram of an embodiment of an electronic device in the invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be apparent that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1 to fig. 3, the present invention provides a Python language-based method, an apparatus and an electronic device for calculating a device calculation formula:
one embodiment of the calculation method for the equipment calculation formula based on the Python language provided by the invention comprises the following steps: as shown in fig. 1, the method for calculating the device calculation formula based on Python language includes:
s100, obtaining the type of the equipment, the current observation value and remarks of the current observation value.
Typically, the current observed value is a temperature, a reading of a device instrument, or the like. The remarks are used for marking whether the current observation value is a reference value or not.
S200, acquiring a corresponding calculation formula, a constant, an installation parameter, a manufacturer parameter, an observation early warning threshold value and a result early warning threshold value according to the type of the equipment.
Generally, the constants are general values with little variation, such as: acceleration of gravity, etc.; the installation parameters refer to values formed by the equipment in the installation process, such as: hole depth, etc.; the factory parameters are correction coefficients measured in a laboratory when the equipment leaves a factory, such as: linear coefficient, temperature coefficient, etc.
In one embodiment, the computational formula is a custom formula.
In one embodiment, the computational formula is parsed using Python speech and supports Python-native mathematical and logical operators.
In one embodiment, the key values (used in the formula to replace characters) corresponding to the installation parameters and the manufacturer parameters are determined according to the type of the equipment. For example, the calculation formula, the installation parameters included in the calculation formula, and the key values corresponding to the manufacturer parameters are customized by the user according to the type of the equipment, and when the equipment is put in storage, the corresponding values are input according to the installation parameters and the key values of the manufacturer parameters in the calculation formula, and the observation early warning threshold value and the result early warning threshold value are input at the same time.
S300, acquiring built-in variables corresponding to the equipment.
Typically, the built-in variables are stored in a database, and the built-in variables are anchor head depth, wheelbase and the like.
S400, obtaining a historical observation value and a historical calculation result.
Generally, the historical observation values and the historical calculation results are stored in a database, and the historical observation values and the historical calculation results are read from the database.
In one embodiment, when the historical observation value and the historical calculation result are obtained, the historical observation value which is remarked as a reference value and the corresponding historical calculation result are obtained.
In one embodiment, when obtaining the historical observed value and the historical calculation result, only the historical observed value and the historical calculation result with the latest logging time (namely, the logging time is closest to the current time) are obtained.
S500, checking whether the data types of the current observed value, the constant, the installation parameter, the factory parameter and the built-in variable are numbers and whether the key value corresponding to the factory parameter is complete.
Generally, if the data types of the current observed value, the constant, the installation parameter, the manufacturer parameter and the built-in variable are all numbers, and the key value corresponding to the manufacturer parameter is complete, the check is considered to be passed, otherwise, the check is considered to be failed.
S600, if the verification is passed, comparing the historical observation value with the latest input time with the current observation value to obtain a first difference value.
Generally, the first difference is an absolute value of a difference between a historical observation value and a current observation value which are recorded at the latest time.
In one embodiment, if the check fails, a first error message is generated and the current observation and the first error message are saved in a database.
And S700, if the first difference value is smaller than the observation early warning threshold value, substituting the current observed value, the constant, the installation parameter, the factory parameter and the value of the built-in variable into the calculation formula in the Python operation environment to calculate to obtain the current calculation result.
In one embodiment, if the first difference is greater than or equal to the observation early warning threshold, the current observation value and the first difference are stored in an early warning list of the database.
And S800, comparing the historical calculation result with the current calculation result, which is recorded at the latest time, to obtain a second difference value.
Typically, the second difference is an absolute value of a difference between a historical calculation result most recent in the logging time and a current calculation result.
And S900, if the second difference value is smaller than a result early warning threshold value, recording the current observation value, the remark and the current calculation result into a database.
In one embodiment, if the second difference is greater than or equal to the result warning threshold, the current calculation result and the second difference are stored in a warning list of the database.
In one embodiment, the current observation and its corresponding current calculation recorded in the database in S800 are updated to the historical observation and the historical calculation for subsequent calculation and analysis.
One embodiment of the computing apparatus for a Python language-based device calculation formula provided by the present invention includes: as shown in fig. 2, the computing apparatus for computing formulas in a device based on Python language includes a data obtaining module, a data checking module, a first difference computing module, a second difference computing module, a result computing module, and a data storage module.
The data acquisition module is used for acquiring the type, remarks, current observed values, historical observed values and historical calculation results of the equipment, and acquiring corresponding calculation formulas, built-in variables, constants, installation parameters, manufacturer parameters, observation early warning thresholds and result early warning thresholds according to the type of the equipment.
In one embodiment, the computational formula is a custom formula that is parsed using Python speech and supports Python native mathematical and logical operators.
In one embodiment, the key values (used in the formulation of the custom) for the installation parameter and the factory parameter are determined based on the type of device. For example, the calculation formula, the installation parameters included in the calculation formula, and the KEY values corresponding to the manufacturer parameters are customized by the user according to the type of the equipment, and when the equipment is put in storage, the corresponding values are input according to the installation parameters in the calculation formula and the KEY values of the manufacturer parameters, and the observation early warning threshold value and the result early warning threshold value are input at the same time.
The data checking module is used for checking whether the data types of the current observed value, the constant, the installation parameter, the factory parameter and the built-in variable are numbers and whether the key value corresponding to the factory parameter is complete.
And the first difference value calculation module is used for comparing the historical observed value with the current observed value when the data verification module passes the verification to obtain a first difference value.
And the result calculation module is used for substituting the current observed value, the constant, the installation parameter, the factory parameter and the value of the built-in variable into the calculation formula in the Python operation environment to calculate to obtain the current calculation result when the first difference value is smaller than the observation early warning threshold value.
And the second difference value calculating module is used for comparing the historical calculation result with the latest entry time with the current calculation result to obtain a second difference value.
And the data storage module is used for recording the current observation value, remark and current calculation result into the database when the second difference value is smaller than the result early warning threshold value.
In one embodiment, the data storage module is further configured to store the current observed value and the first error information generated by the data verification module in the database when the test fails, store the current observed value and the first difference value in an early warning list of the database when the first difference value is greater than or equal to an observation early warning threshold, and store the current calculation result and the second difference value in an early warning list of the database when the second difference value is greater than or equal to a result early warning threshold.
One embodiment of an electronic device provided by the invention comprises: as shown in fig. 3, an electronic device includes a processor and a memory, the processor and the memory are connected through a communication bus, the memory is used for storing program codes and data of the calculation method, and the processor is used for calling program instructions in the memory to execute the calculation method based on the Python language device calculation formula in the above embodiment.
The foregoing is illustrative of the preferred embodiments of the present invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and is not to be construed as limited to the exclusion of other embodiments, and that various other combinations, modifications, and environments may be used and modifications may be made within the scope of the concepts described herein, either by the above teachings or the skill or knowledge of the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. The calculation method of the equipment calculation formula based on the Python language is characterized by comprising the following steps:
acquiring the type of equipment, a current observation value and remarks of the current observation value;
acquiring a corresponding calculation formula, a constant, installation parameters, manufacturer parameters, an observation early warning threshold value and a result early warning threshold value according to the type of the equipment;
acquiring a built-in variable corresponding to equipment;
acquiring a historical observation value and a historical calculation result;
checking whether the data types of the current observed value, the constant, the installation parameter, the factory parameter and the built-in variable are numbers and whether the key value corresponding to the factory parameter is complete;
if the verification is passed, comparing the historical observed value with the latest input time with the current observed value to obtain a first difference value;
if the first difference value is smaller than the observation early warning threshold value, substituting the values of the current observed value, the constant, the installation parameter, the manufacturer parameter and the built-in variable into the calculation formula in the Python operation environment to calculate to obtain a current calculation result;
comparing the historical calculation result with the latest input time with the current calculation result to obtain a second difference value;
and if the second difference is smaller than the result early warning threshold, recording the current observation value, the remark and the current calculation result into a database.
2. The method of computing a Python language based device calculation formula according to claim 1, wherein the calculation formula is parsed using Python speech and supports Python native mathematical and logical operators.
3. The method according to claim 1, wherein the key values corresponding to the installation parameters and the vendor parameters are determined according to the type of the device.
4. The method according to claim 1, wherein if the verification fails, a first error message is generated, and the current observation and the first error message are stored in a database.
5. The method according to claim 1, wherein if the first difference is greater than or equal to the observation warning threshold, the current observation value and the first difference are stored in a warning list of the database.
6. The method according to claim 1, wherein if the second difference is greater than or equal to the result warning threshold, the current calculation result and the second difference are stored in a warning list of the database.
7. A computing device for computing formulas in a device implemented based on a Python language, comprising:
the data acquisition module is used for acquiring the type, remarks, current observation values, historical observation values and historical calculation results of the equipment, and acquiring corresponding calculation formulas, built-in variables, constants, installation parameters, manufacturer parameters, observation early warning thresholds and result early warning thresholds according to the type of the equipment;
the data checking module is used for checking whether the data types of the current observed value, the constant, the installation parameter, the factory parameter and the built-in variable are numbers and whether the key value corresponding to the factory parameter is complete;
the first difference value calculation module is used for comparing the historical observation value with the latest input time with the current observation value when the data verification module passes the verification to obtain a first difference value;
the result calculation module is used for substituting the current observed value, the constant, the installation parameter, the factory parameter and the value of the built-in variable into the calculation formula in the Python operation environment to calculate to obtain the current calculation result when the first difference value is smaller than the observation early warning threshold value;
the second difference value calculation module is used for comparing a historical calculation result with the latest input time with a current calculation result to obtain a second difference value;
and the data storage module is used for recording the current observed value, remarks and the current calculation result into the database when the second difference value is smaller than the result early warning threshold value.
8. The apparatus according to claim 7, wherein the data storage module is further configured to store the current observation value and the first error information generated by the data check module in the database when the verification fails, store the current observation value and the first difference value in an early warning list of the database when the first difference value is greater than or equal to the observation early warning threshold, and store the current calculation result and the second difference value in the early warning list of the database when the second difference value is greater than or equal to the result early warning threshold.
9. An electronic device, comprising a processor and a memory, wherein the memory is used for storing program codes and data of the calculation method, and the processor is used for calling program instructions in the memory to execute the calculation method of the Python language-based device calculation formula according to any one of claims 1-6.
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