CN116894065B - Earthwork efficiency evaluation influence condition acquisition system based on Internet of things technology - Google Patents
Earthwork efficiency evaluation influence condition acquisition system based on Internet of things technology Download PDFInfo
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Abstract
The invention discloses an earth work efficiency evaluation influence condition acquisition system based on the Internet of things technology, which comprises a meteorological parameter acquisition module, a soil parameter judgment module, a data loading module, an Internet of things cloud data management module, an efficiency operation efficiency influence factor calculation module, an operation efficiency analysis module and a data display module, wherein the soil parameter judgment module is used for acquiring and judging two kinds of influence condition parameter data of soil humidity and soil hardness, and the data loading module is used for inputting and uploading various influence condition parameter data.
Description
Technical Field
The invention relates to the technical field of data acquisition, in particular to an earth work efficiency evaluation influence condition acquisition system based on the internet of things technology.
Background
The earth work efficiency is an important index for evaluating the training effect of the engineering troops, and is also an important basis for allocation of troops and equipment in the war. The earthwork efficiency data mainly refer to the earthwork quantity excavated and loaded by training equipment such as bulldozers, excavators and loaders in a certain time, and the earthwork efficiency influence conditions mainly include meteorological conditions, soil conditions, topography conditions, water flow conditions and the like. Wherein, the meteorological conditions comprise temperature, humidity, wind speed, wind direction, air pressure, atmospheric visibility and the like; the soil conditions mainly comprise soil humidity and soil hardness; the terrain conditions comprise ground gradient, fluctuation degree, fluctuation difference and the like; the water flow condition mainly refers to the water flow speed.
When collecting different kinds of parameter data, because of influencing condition parameters, the traditional collection mode mainly comprises classified acquisition, low collection efficiency, low speed, low automation and integration level, the requirements of rapid data collection and display cannot be met, along with the change of parameter collection areas, the fluctuation range of the parameter is changed, the collection of the parameter of different areas needs to be carried out for multiple times, the incorrect matching of influencing condition parameter data is easy to occur, the influence weights of the collected influencing condition parameter ranges on the efficiency of the earthwork are different, and the incorrect collecting parameter of the influencing condition can cause the assessment of deviation on the efficiency of the earthwork.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: the system solves the problems that the data acquisition efficiency of different parameters is low, the speed is low, and the parameter data is erroneously matched with the parameter acquisition area along with the change of the parameter acquisition area, so that the deviation evaluation is caused to the earth work efficiency, and provides an earth work efficiency evaluation influence condition acquisition system based on the Internet of things technology.
The technical problems are solved by the following technical scheme, the invention comprises a meteorological parameter acquisition module, a soil parameter judgment module, a data loading module, an Internet of things cloud data management module, a performance operation performance influence factor calculation module, an operation performance analysis module and a data display module;
the weather parameter acquisition module comprises a weather sensor and a visibility sensor, wherein the weather sensor is used for acquiring influence condition parameter data of temperature, humidity, wind speed, wind direction and air pressure in a natural environment, and the visibility sensor is used for acquiring influence condition parameter data of atmospheric visibility;
the soil parameter acquisition module comprises a soil humidity sensor and a soil hardness sensor, wherein the soil humidity sensor is used for acquiring soil humidity influence condition parameter data, and the soil hardness sensor is used for acquiring soil hardness influence condition parameter data;
the soil parameter judging module is used for acquiring two kinds of influence condition parameter data of soil humidity and soil hardness, predicting corresponding soil water content data based on the soil hardness influence condition parameter data, judging the actually acquired soil hardness influence condition parameter data, and deleting or continuously uploading the data according to a judging result;
the data loading module comprises a first data acquisition card which is in data transmission connection with the meteorological sensor and the visibility sensor, and a second data acquisition card which is connected with the soil humidity sensor and the soil hardness sensor, wherein the first data acquisition card and the second data acquisition card are both used for inputting and uploading various influence condition parameter data;
the internet of things cloud data management module is used for uploading the input influence condition parameter data to the cloud through the internet of things, and the internet of things cloud data management module realizes editing functions of input influence condition parameter data, acquisition time, classified storage of an acquisition area, classified management, addition, deletion, modification, investigation and the like of various data;
the efficiency operation efficiency influence factor calculation module is used for grading the influence condition parameter data and acquiring operation efficiency influence factors of each influence condition;
the operation efficiency analysis module calculates basic earthwork operation efficiency data and comprehensive earthwork operation efficiency data according to the operation efficiency influence factors;
the data display module is used for reading data from the internet of things cloud data management module and performing classified display and comparison display on the influence condition parameter data in the forms of tables, scatter diagrams, line diagrams and the like.
Further, the soil parameter data judging step of the soil parameter judging module is as follows: acquiring the soil hardness influence condition parameter data and the soil humidity influence condition parameter data acquired at the same place, establishing a soil hardness-soil water content prediction calculation model based on the soil hardness influence condition parameter data, predicting a soil water content prediction range under the current soil hardness, and comparing and judging the soil hardness-soil water content prediction calculation model with the acquired soil humidity influence condition parameter data.
Further, the concrete calculation formula of the soil hardness-soil water content prediction calculation model is as follows:
wherein: τ is a soil intensity influence condition detection parameter; sigma is the normal stress on the shear plane;is the internal friction angle of the soil; c is the cohesive force of soil; omega is the soil water content; a. b, c, d are constant coefficients determined based on the current soil type, respectively.
Further, the specific acquiring process of the influence condition parameter data grading and operation efficiency influence factor is as follows:
step one: firstly, detecting influence condition parameter data, classifying the atmospheric temperature and the atmospheric humidity according to the environment suitable for human bodies, classifying temperature influence classes and humidity influence into classes I, II and III, judging that the operation efficiency influence factors when the influence classes are class I are 0, judging that the operation efficiency influence factors when the influence classes are class II are 0.3, judging that the operation efficiency influence factors when the influence classes are class III are 0.06, and determining the atmospheric temperature influence class classification and the atmospheric temperature operation efficiency influence factor a 1 Atmospheric humidity influence grading and atmospheric humidity operation efficiency influence factor a 2 ；
Step two: according to the wind speed and wind power grade dividing standard, the atmospheric pressure change rule along with the elevation and the influence of different elevations on earth works and the level visibility grade standard, the wind speed influence grade, the atmospheric pressure influence grade and the atmospheric visibility influence grade are classified into I, II, III, IV and V grades, the operation efficiency influence factor when the influence grade is I grade is judged to be 0, the operation efficiency influence factor when the influence grade is II grade is judged to be 0.015, the operation efficiency influence factor when the influence grade is III grade is judged to be 0.03, the operation efficiency influence factor when the influence grade is IV grade is judged to be 0.045, and the operation efficiency influence factor when the influence grade is judged to be V gradeThe operation efficiency influence factor is 0.06 when the wind speed influence class division and the wind speed operation efficiency influence factor a are obtained 3 Air pressure influence grading and atmospheric pressure effectiveness influence factor a 4 Atmospheric visibility influence grading and atmospheric visibility operation efficiency influence factor a 5 ；
Step three: classifying the soil hardness influence level into I, II, III, IV and V according to soil moisture content research, judging that the operation efficiency influence factor when the influence level is I is 0, judging that the operation efficiency influence factor when the influence level is II is 0.075, judging that the operation efficiency influence factor when the influence level is III is 0.15, judging that the operation efficiency influence factor when the influence level is IV is 0.225, judging that the operation efficiency influence factor when the influence level is V is 0.3, and obtaining the soil hardness influence level classification and the soil hardness operation efficiency influence factor a 6 ；
Step four: according to the soil weight moisture content grading standard and the influence on earthwork, grading the soil humidity influence grade into I, II, III, IV and V grades, judging that the operation efficiency influence factor when the influence grade is I grade is 0, judging that the operation efficiency influence factor when the influence grade is II grade is 0.05, judging that the operation efficiency influence factor when the influence grade is III grade is 0.1, judging that the operation efficiency influence factor when the influence grade is IV grade is 0.15, judging that the operation efficiency influence factor when the influence grade is V grade is 0.2, and obtaining the soil humidity influence grade grading and the soil humidity operation efficiency influence factor a 7 。
The method is further characterized in that: the analysis formula of the comprehensive earthwork efficiency data is as follows:
wherein: e is comprehensive earthwork efficiency, W is training earthwork quantity, t is earthwork time, and delta is an operation environment operation efficiency influence factor;
the calculation formula of the operation efficiency influence factor delta of the operation environment is as follows
δ＝∑a n
Wherein: delta is the working efficiency influence factor of the working environment, a n Is the operation efficiency influence factor of each environmental factor.
Compared with the prior art, the invention has the following advantages: according to the invention, the acquisition process of different kinds of parameter data is more convenient, the rapid acquisition and real-time transmission of various data of the training environment are rapidly realized, various data are displayed, and in the soil hardness influence condition parameter data and soil humidity influence condition parameter data which need to be frequently detected, the correlation judgment is carried out on the soil hardness influence condition parameter data and the soil humidity influence condition parameter data which are acquired in the same area, and the phenomenon that whether error data occur in the soil hardness influence condition parameter data and the soil humidity influence condition parameter data acquired in the current area is determined.
Drawings
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following describes in detail the examples of the present invention, which are implemented on the premise of the technical solution of the present invention, and detailed embodiments and specific operation procedures are given, but the scope of protection of the present invention is not limited to the following examples.
Referring to fig. 1, the invention provides an earth work efficiency evaluation influence condition acquisition system based on the internet of things technology, which comprises a meteorological parameter acquisition module, a soil parameter judgment module, a data loading module, an internet of things cloud data management module, an efficiency work efficiency influence factor calculation module, an operation efficiency analysis module and a data display module;
the weather parameter acquisition module comprises a weather sensor and a visibility sensor, wherein the weather sensor is used for acquiring influence condition parameter data of temperature, humidity, wind speed, wind direction and air pressure in a natural environment, and the visibility sensor is used for acquiring influence condition parameter data of atmospheric visibility;
the soil parameter acquisition module comprises a soil humidity sensor and a soil hardness sensor, wherein the soil humidity sensor is used for acquiring soil humidity influence condition parameter data, and the soil hardness sensor is used for acquiring soil hardness influence condition parameter data;
the soil parameter judging module is used for acquiring two kinds of influence condition parameter data of soil humidity and soil hardness, predicting corresponding soil water content data based on the soil hardness influence condition parameter data, judging the actually acquired soil hardness influence condition parameter data, and deleting or continuously uploading the data according to a judging result;
the data loading module comprises a first data acquisition card which is in data transmission connection with the meteorological sensor and the visibility sensor, and a second data acquisition card which is connected with the soil humidity sensor and the soil hardness sensor, wherein the first data acquisition card and the second data acquisition card are both used for inputting and uploading various influence condition parameter data;
the internet of things cloud data management module is used for uploading the input influence condition parameter data to the cloud through the internet of things, and the internet of things cloud data management module realizes editing functions of input influence condition parameter data, acquisition time, classified storage of an acquisition area, classified management, addition, deletion, modification, investigation and the like of various data;
the efficiency operation efficiency influence factor calculation module is used for grading the influence condition parameter data and acquiring operation efficiency influence factors of each influence condition;
the operation efficiency analysis module calculates basic earthwork operation efficiency data and comprehensive earthwork operation efficiency data according to the operation efficiency influence factors;
the data display module is used for reading data from the internet of things cloud data management module and performing classified display and comparison display on the influence condition parameter data in the forms of tables, scatter diagrams, line diagrams and the like.
According to the invention, the set meteorological parameter acquisition module and the soil parameter acquisition module are used for acquiring the influence conditions influencing the sudden operation efficiency evaluation, the acquired various influence condition parameter data are uploaded into the cloud data management module of the Internet of things through the data loading module, then the values of the various influence condition parameter data are divided, the influence level and the operation efficiency influence factor of the various influence condition parameter data are determined, the comprehensive earthwork operation efficiency evaluation is realized through the determination of the operation efficiency influence factor, the acquired various influence condition parameter data are displayed in a classified manner and are displayed in a comparison manner through the data display module, the arrangement of the meteorological sensor, the visibility sensor, the soil humidity, the hardness sensor, the flow rate sensor, the wireless transmission equipment, the data receiving server and other equipment is more convenient for the acquisition process of the various parameter data, the analysis protocol of the acquisition card in the data loading module is combined, the rapid acquisition and the real-time transmission of various data of training environment can be realized, the hardness influence condition parameter data and the soil humidity influence condition parameter data which need to be frequently detected are displayed, and whether the error condition data of the soil hardness and humidity influence condition parameter data are related to the soil humidity condition parameter data in the same region are acquired, and whether the error condition data occur in the soil humidity condition data are determined.
Specifically, the soil parameter data judging step of the soil parameter judging module is as follows: acquiring the soil hardness influence condition parameter data and the soil humidity influence condition parameter data acquired at the same place, establishing a soil hardness-soil water content prediction calculation model based on the soil hardness influence condition parameter data, predicting a soil water content prediction range under the current soil hardness, and comparing and judging the soil hardness-soil water content prediction calculation model with the acquired soil humidity influence condition parameter data.
Through the process, the water content of the soil in the earthwork of the current operation is predicted through the detection of the soil hardness, the correlation detection between the soil hardness and the soil humidity in the same collecting area is determined through the comparison of the soil water content and the soil humidity, and in the state that the correlation does not exist between the soil hardness and the soil humidity, the influence condition parameter data of the soil hardness and the soil humidity are judged to be error data, and record uploading is not performed.
Specifically, the specific calculation formula of the soil hardness-soil water content prediction calculation model is as follows:
wherein: τ is a soil intensity influence condition detection parameter; sigma is the normal stress on the shear plane;is the internal friction angle of the soil; c is the cohesive force of soil; omega is the soil water content; a. b, c and d are constant coefficients determined based on the current soil type, taking a= -150.66, b= 547.71, c= -25.8 and d= 98.455 for a certain type of expansive soil as an example.
Through the model, after the soil property parameters of the earthwork are measured, the soil humidity influence condition parameter data can be predicted in a state that the soil hardness influence condition parameter data are truly collected.
Specifically, the specific acquisition process of the influence condition parameter data grading and operation efficiency influence factors is as follows:
step one: firstly, detecting influence condition parameter data, wherein the most comfortable air temperature of a human body in summer is 19-24 ℃, the most comfortable air humidity of the human body in winter is 17-22 ℃, the most comfortable air humidity of the human body is generally 40-60%, classifying the air temperature and the air humidity according to the proper environment of the human body, setting the influence level of the air temperature of 16-25 ℃ as level I, the influence level of 6-15 ℃ and 26-35 ℃ as level II, the influence level of less than 5 ℃ and more than 35 ℃ as level III, setting the influence level of the humidity of 40-60% as level I, the influence level of 20-40% and 60-80% as level II, the influence level of less than 20% and more than 80% as level III, judging that the operation efficiency influence factors of the influence level I are all 0, and the operation efficiency influence factors of the influence level II are all 0.3, and judging that the influence level II isThe operation efficiency influence factors are 0.06 when the grade is III, and the atmospheric temperature influence grade division and the atmospheric temperature operation efficiency influence factor a are determined 1 Atmospheric humidity influence grading and atmospheric humidity operation efficiency influence factor a 2 ；
Step two: according to the wind speed and wind power grade division standard, the rule of atmospheric pressure changing along with elevation and the influence of different elevations on earthwork operation, the level visibility grade standard, the wind speed is less than 5.4m/s, namely no wind, soft wind and breeze, and the influence grade is grade I; the wind speed is 5.5-10.7 m/s, the wind and the clear wind, and the influence level is level II; strong wind with the speed of 10.8-13.8 m/s and the influence level of III; 13.9-17.1 m/s is high wind, and the influence level is IV level; a speed of more than 17.1m/s is high wind, strong wind and the like, and the influence level is V level; the influence level of the air pressure is 91-100 kpa is level I; the influence level of the air pressure is 81-90 kpa is II; the influence grade of the air pressure of 71-80 kpa is grade III; the influence grade of the air pressure is 61-70 kpa is grade IV; an influence level of less than 60kpa of air pressure is v; the visibility is more than or equal to 10km, and the influence level is level I; visibility is more than or equal to 2km and less than 10km, and the influence level is level II; visibility is more than or equal to 1km and less than 2km, and the influence level is level III; visibility is poorer than 0.5km or less than 1km, and the influence level is IV level; visibility less than 0.5km is poor and extremely poor, and the influence level is V level; and determining that the operation efficiency influence factor when the influence level is level I is 0, determining that the operation efficiency influence factor when the influence level is level II is 0.015, determining that the operation efficiency influence factor when the influence level is level III is 0.03, determining that the operation efficiency influence factor when the influence level is level IV is 0.045, determining that the operation efficiency influence factor when the influence level is level V is 0.06, and obtaining the wind speed influence level division and wind speed operation efficiency influence factor a 3 Air pressure influence grading and atmospheric pressure effectiveness influence factor a 4 Atmospheric visibility influence grading and atmospheric visibility operation efficiency influence factor a 5 ；
Step three: according to soil moisture content research, the influence level of the soil hardness (compactness) smaller than 10kg is level I; soil hardeningImpact grades with a degree of greater than 10kg and less than 20kg are grade ii; the impact grade of soil hardness is higher than 20kg and lower than 30kg is grade III; the impact grade of soil hardness of more than 30kg and less than 40kg is grade IV; the influence level of the soil hardness of more than 40kg is V level; and determining that the operation efficiency influence factor when the influence level is level I is 0, determining that the operation efficiency influence factor when the influence level is level II is 0.075, determining that the operation efficiency influence factor when the influence level is level III is 0.15, determining that the operation efficiency influence factor when the influence level is level IV is 0.225, determining that the operation efficiency influence factor when the influence level is level V is 0.3, and obtaining the soil hardness influence level classification and the soil hardness operation efficiency influence factor a 6 ；
Step four: according to the soil weight moisture content grading standard and the influence on earthwork, the influence grade of the soil relative humidity less than 20% is grade I; the impact grade of the soil relative humidity is more than 20% and less than 40% is grade II; the impact grade of the soil relative humidity is higher than 40% and lower than 60% is grade III; the influence grade of the soil relative humidity is higher than 60% and lower than 80% is grade IV; the influence level of the relative humidity of the soil is greater than or equal to 80 percent is V level; and determining that the operation efficiency influence factor when the influence level is level I is 0, determining that the operation efficiency influence factor when the influence level is level II is 0.05, determining that the operation efficiency influence factor when the influence level is level III is 0.1, determining that the operation efficiency influence factor when the influence level is level IV is 0.15, determining that the operation efficiency influence factor when the influence level is level V is 0.2, and obtaining the soil humidity influence level classification and the soil humidity operation efficiency influence factor a 7 。
Through the process, after the influence condition parameter data of the atmospheric temperature, the atmospheric humidity, the wind speed, the atmospheric pressure, the atmospheric visibility, the soil hardness and the soil humidity are collected, the influence grade division of each influence condition parameter is conducted, and the operation efficiency influence factor of each influence condition parameter data in the corresponding influence grade is determined.
Specifically, the analysis formula of the comprehensive earthwork efficiency data is as follows:
wherein: e is comprehensive earthwork efficiency, W is training earthwork quantity, t is earthwork time, and delta is an operation environment operation efficiency influence factor;
the calculation formula of the operation efficiency influence factor delta of the operation environment is as follows
δ＝∑a n
Wherein: delta is the working efficiency influence factor of the working environment, a n Is the operation efficiency influence factor of each environmental factor.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (3)
1. An earth work efficiency evaluation influence condition acquisition system based on the internet of things technology, which is characterized in that: the system comprises a meteorological parameter acquisition module, a soil parameter judgment module, a data loading module, an Internet of things cloud data management module, a performance operation performance influence factor calculation module, an operation performance analysis module and a data display module;
the weather parameter acquisition module comprises a weather sensor and a visibility sensor, wherein the weather sensor is used for acquiring influence condition parameter data of temperature, humidity, wind speed, wind direction and air pressure in a natural environment, and the visibility sensor is used for acquiring influence condition parameter data of atmospheric visibility;
the soil parameter acquisition module comprises a soil humidity sensor and a soil hardness sensor, wherein the soil humidity sensor is used for acquiring soil humidity influence condition parameter data, and the soil hardness sensor is used for acquiring soil hardness influence condition parameter data;
the soil parameter judging module is used for acquiring two kinds of influence condition parameter data of soil humidity and soil hardness, and deleting or continuously uploading the data after judging;
the data loading module comprises a first data acquisition card which is in data transmission connection with the meteorological sensor and the visibility sensor, and a second data acquisition card which is connected with the soil humidity sensor and the soil hardness sensor, wherein the first data acquisition card and the second data acquisition card are both used for inputting and uploading various influence condition parameter data;
the cloud data management module of the Internet of things is used for uploading the input influence condition parameter data to the cloud for storage through the Internet of things;
the efficiency operation efficiency influence factor calculation module is used for grading the influence condition parameter data and acquiring operation efficiency influence factors of each influence condition;
the operation efficiency analysis module calculates basic earthwork operation efficiency data and comprehensive earthwork operation efficiency data according to the operation efficiency influence factors;
the data display module is used for reading data from the internet cloud data management module and carrying out classified display and comparative display on the influence condition parameter data in the form of a table, a scatter diagram and a line diagram;
the soil parameter data judging step of the soil parameter judging module comprises the following steps: acquiring the soil hardness influence condition parameter data and the soil humidity influence condition parameter data acquired at the same place, establishing a soil hardness-soil water content prediction calculation model based on the soil hardness influence condition parameter data, predicting a soil water content prediction range under the current soil hardness, and comparing and judging the soil hardness-soil water content prediction calculation model with the acquired soil humidity influence condition parameter data; the concrete calculation formula of the soil hardness-soil water content prediction calculation model is as follows:
wherein: τ is a soil intensity influence condition detection parameter; sigma is the normal stress on the shear plane;is the internal friction angle of the soil; c is the cohesive force of soil; omega is the soil water content; a. b, c, d are constant coefficients determined based on the current soil type, respectively.
2. The earth work efficiency evaluation influence condition acquisition system based on the internet of things technology according to claim 1, wherein: the specific acquisition flow of the influence condition parameter data grading and operation efficiency influence factors is as follows:
step one: firstly, detecting influence condition parameter data, dividing temperature influence level and humidity influence into I, II and III levels, judging that the operation efficiency influence factors when the influence level is I level are 0, and judging that the operation efficiency when the influence level is II levelThe influence factors are 0.3, the operation efficiency influence factors when the influence level is judged to be III level are 0.06, and the atmospheric temperature influence level division and the atmospheric temperature operation efficiency influence factor a are determined 1 Atmospheric humidity influence grading and atmospheric humidity operation efficiency influence factor a 2 ；
Step two: dividing wind speed influence level, air pressure influence level, atmospheric visibility influence level and the like into levels I, II, III, IV and V, judging that the operation efficiency influence factor when the influence level is level I is 0, judging that the operation efficiency influence factor when the influence level is level II is 0.015, judging that the operation efficiency influence factor when the influence level is level III is 0.03, judging that the operation efficiency influence factor when the influence level is level IV is 0.045, judging that the operation efficiency influence factor when the influence level is level V is 0.06, and obtaining the wind speed influence level division and wind speed operation efficiency influence factor a 3 Air pressure influence grading and atmospheric pressure effectiveness influence factor a 4 Atmospheric visibility influence grading and atmospheric visibility operation efficiency influence factor a 5 ；
Step three: classifying the soil hardness influence level into I, II, III, IV and V levels, judging that the operation efficiency influence factor when the influence level is I level is 0, judging that the operation efficiency influence factor when the influence level is II level is 0.075, judging that the operation efficiency influence factor when the influence level is III level is 0.15, judging that the operation efficiency influence factor when the influence level is IV level is 0.225, judging that the operation efficiency influence factor when the influence level is V level is 0.3, and obtaining the soil hardness influence level classification and the soil hardness operation efficiency influence factor a 6 ；
Step four: dividing the soil humidity influence level into I, II, III, IV and V levels, judging that the operation efficiency influence factor when the influence level is I level is 0, judging that the operation efficiency influence factor when the influence level is II level is 0.05, judging that the operation efficiency influence factor when the influence level is III level is 0.1, judging that the operation efficiency influence factor when the influence level is IV level is 0.15, judging that the operation efficiency influence factor when the influence level is V level is 0.2, and obtaining the soil humidity influence level division and the soil humidityWork efficiency influence factor a 7 。
3. The earth work efficiency evaluation influence condition acquisition system based on the internet of things technology according to claim 1, wherein: the analysis formula of the comprehensive earthwork efficiency data is as follows:
wherein: e is comprehensive earthwork efficiency, W is training earthwork quantity, t is earthwork time, and delta is an operation environment operation efficiency influence factor;
the calculation formula of the operation efficiency influence factor delta of the operation environment is as follows
δ＝∑a n
Wherein: delta is the working efficiency influence factor of the working environment, a n Is the operation efficiency influence factor of each environmental factor.
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