CN113468693A - Pressure sensor acquisition system based on big data - Google Patents

Pressure sensor acquisition system based on big data Download PDF

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CN113468693A
CN113468693A CN202110821530.2A CN202110821530A CN113468693A CN 113468693 A CN113468693 A CN 113468693A CN 202110821530 A CN202110821530 A CN 202110821530A CN 113468693 A CN113468693 A CN 113468693A
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李峰
左妮娜
胡伟全
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Bengbu Gaoling Sensing System Project Co ltd
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Abstract

The invention discloses a pressure sensor acquisition system based on big data, which belongs to the technical field of pressure sensor acquisition and comprises a correction module, a data acquisition module and a server; the correction module is used for correcting the influence of the ambient temperature on the pressure acquired by the pressure sensor, and the specific method comprises the following steps: step SA 1: acquiring the models of the pressure sensors, and acquiring a plurality of groups of pressure values of the pressure sensors with corresponding models at different temperatures from the Internet according to the models of the pressure sensors; marking a plurality of groups of detected pressure values at different temperatures as analog values; step SA 2: establishing a temperature curve model; inputting the analog value into a temperature curve model to obtain a temperature curve of the pressure sensor; by establishing a temperature curve model, analog values are input into the temperature curve model to obtain a temperature curve of the pressure sensor, and the influence of different temperatures on pressure acquisition can be accurately known according to the obtained temperature curve of the pressure sensor.

Description

Pressure sensor acquisition system based on big data
Technical Field
The invention belongs to the technical field of pressure sensor acquisition, and particularly relates to a pressure sensor acquisition system based on big data.
Background
The pressure sensor is the most common sensor in industrial practice, and generally, the output of a common pressure sensor is an analog signal, and the analog signal refers to a signal in which an information parameter appears continuously in a given range or a signal in which a characteristic quantity representing information can appear to be any value at any moment in a continuous time interval. While the pressure sensors that we commonly use are mainly manufactured using the piezoelectric effect, such sensors are also referred to as piezoelectric sensors.
At present, most pressure values acquired by the pressure sensors are not correct values, because the pressure sensors are influenced by the ambient temperature when measuring, the measurement results are inaccurate, and in some industries needing accurate measurement, unreal measurement values may generate larger potential safety hazards and economic losses, as shown in table 1, the pressure values acquired by the pressure sensors are influenced at different temperatures; therefore, the influence of the temperature on the data acquisition of the pressure sensor needs to be eliminated by arranging the correction module.
Disclosure of Invention
In order to solve the problems existing in the scheme, the invention provides a pressure sensor acquisition system based on big data.
The purpose of the invention can be realized by the following technical scheme:
a big data based pressure sensor acquisition system, comprising: the system comprises a correction module, a data acquisition module and a server;
the data acquisition module is used for acquiring a pressure value and a temperature value;
the correction module is used for correcting the influence of the ambient temperature on the pressure acquired by the pressure sensor, and the specific method comprises the following steps:
step SA 1: acquiring the models of the pressure sensors, and acquiring a plurality of groups of pressure values of the pressure sensors with corresponding models at different temperatures from the Internet according to the models of the pressure sensors; marking a plurality of groups of detected pressure values at different temperatures as analog values;
step SA 2: establishing a temperature curve model; inputting the analog value into a temperature curve model to obtain a temperature curve of the pressure sensor;
step SA 3: acquiring a pressure value and a temperature value acquired by a data acquisition module in real time; substituting the obtained temperature value into a temperature curve of the pressure sensor to obtain a temperature pressure value;
step SA 4: and subtracting the temperature pressure value from the pressure value acquired by the data acquisition module to obtain a real pressure value.
Further, in step SA1, a plurality of sets of pressure values of the pressure sensors of corresponding models at different temperatures are obtained from the internet according to the models of the pressure sensors;
when the pressure values of the pressure sensors of the corresponding models at different temperatures are not obtained from the Internet; setting a thermostatic bath, putting pressure sensors into the thermostatic bath, changing the temperature in the thermostatic bath, detecting pressure values of a plurality of groups of pressure sensors at different temperatures, and marking the detected pressure values of the plurality of groups at different temperatures as analog values.
Further, the method for acquiring the temperature value by the data acquisition module comprises the following steps:
step SB 1: acquiring a directly detected temperature value TEi, wherein i is 1, 2, … … and n, and n is a positive integer; the time interval between two adjacent detection temperature values TEi is t seconds;
establishing a temperature value coordinate system, and inputting the obtained temperature value TEi into the temperature value coordinate system;
step SB 2: two adjacent temperature value TEi points are connected by a straight line, and the slope kj between the two adjacent temperature value TEi points is obtained, wherein j is 1, 2, … … and n-1, and n is a positive integer;
step SB 3: sequentially selecting N slopes kj according to the sequence, and marking the first slope kj of the selected N slopes as ka;
step SB 4: setting a stable value K, and sequentially acquiring slope difference values K1 ═ ka +1-ka |, K2 ═ ka +2-ka +1|, … …, and kN ═ ka + N-ka + N-1 |;
when k1, k2, … …, kNIf both are less than K, go to step SB 5;
when k1, k2, … …, kNWhen any value is not less than K, returning to the step SB 3;
step SB 5: sequentially obtaining a second-level slope difference value k1′＝|k2-k1|、k2′＝|k3-k2|、……、kN-1′＝|kN-1-kN|；
When k is1′、k2′、……、kN-1When the values are all less than K, the corresponding last temperature value is selected as the acquired temperature value.
Further, in step SB5, when k is1′、k2′、……、kN-1When any one of the values is not less than K, the process returns to step SB 3.
Further, t has a value in the range of [5,10 ].
Further, N is a proportionality coefficient, and 10 ≧ N ≧ 6.
Further, a ∈ [1, j-N +1 ].
And the storage module is used for storing the data information generated by the correction module and the data acquisition module.
Further, the system also comprises a maintenance module, wherein the maintenance module is used for dispatching maintenance personnel to perform maintenance when the system fails, and the specific method comprises the following steps:
step SC 1: acquiring personal information of maintenance personnel, and marking the maintenance personnel as i;
step SC 2: marking the service life of a maintenance worker as Pi;
step SC 3: acquiring the working state of a maintenance worker, wherein the working state comprises an idle state and a busy state, and marking the working state of the maintenance worker as Li;
step SC 4: acquiring the distance between a maintenance worker and a pressure sensor to be maintained, and marking the distance between the maintenance worker and the pressure sensor to be maintained as Mi;
step SC 5: obtaining a priority value Qi according to a formula Qi-lambda (b1 Pi b2 Li)/(b3 Mi +1), wherein when the working state of the maintenance personnel is a busy state, Li is 0, and when the working state of the maintenance personnel is an idle state, Li is 1;
step SC 6: and arranging the priority values Qi in the descending order, and dispatching the maintenance personnel with the first priority values Qi for maintenance.
Compared with the prior art, the invention has the beneficial effects that: the acquired temperature is progressively detected, the precision is adjusted according to the actual condition, the acquired temperature is ensured to meet the precision requirement of the pressure sensor, and the problem that the detected temperature can generate large errors when the detected temperature is used subsequently to influence the detection accuracy when the detected temperature is changed is solved; by establishing a temperature curve model, inputting a simulation value into the temperature curve model to obtain a temperature curve of the pressure sensor, and accurately knowing the influence of different temperatures on pressure acquisition according to the obtained temperature curve of the pressure sensor; substituting the temperature value that will acquire into pressure sensor temperature curve, obtaining the temperature pressure value, will subtract the temperature pressure value from the pressure value that data acquisition module acquireed again, obtain true pressure value, eliminated the influence of temperature to pressure acquisition, solve pressure sensor when measuring, will receive ambient temperature's influence, lead to measuring result inaccurate, may produce great potential safety hazard and economic loss's problem.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of a big data based pressure sensor acquisition system according to the present 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 understood 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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a pressure sensor acquisition system based on big data includes a correction module, a data acquisition module, a server, a storage module, and a maintenance module;
the storage module is used for storing the data information generated by the correction module and the data acquisition module;
the data acquisition module is used for acquiring a pressure value and a temperature value;
when the temperature is detected, various factors can cause the temperature to change violently, so if the temperature detected when the temperature changes is used, a great error can be generated when the detected temperature is used subsequently, and the accuracy of detection is influenced;
the method for acquiring the temperature value by the data acquisition module comprises the following steps:
step SB 1: acquiring a directly detected temperature value TEi, wherein i is 1, 2, … … and n, and n is a positive integer; the time interval between two adjacent detection temperature values TEi is t seconds, and t is not less than 10 and not less than 5;
establishing a temperature value coordinate system, wherein the temperature value coordinate system is a coordinate system established by temperature values and time; inputting the obtained temperature value TEi into a temperature value coordinate system;
step SB 2: two adjacent temperature value TEi points are connected by a straight line, and the slope kj between the two adjacent temperature value TEi points is obtained, wherein j is 1, 2, … … and n-1, and n is a positive integer;
step SB 3: sequentially selecting N slopes kj according to the sequence, wherein N is a proportionality coefficient and is not less than 10 and not less than 6, and the adjustment can be carried out according to the precision of the pressure sensor required to be used; marking the first one of the N slopes kj as ka, wherein a belongs to [1, j-N +1 ];
step SB 4: setting a stable value K, wherein the stable value K is discussed and set by an expert group and used for judging whether the continuously measured temperature value is stable or not and adjusting the temperature value according to the precision of the pressure sensor required to be used; in accordance withThe slope difference k1 ═ ka +1-ka |, k2 |, ka +2-ka +1|, … …, k, is obtained onceN＝|ka+N-ka+N-1|；
When k1, k2, … …, kNIf both are less than K, go to step SB 5;
when k1, k2, … …, kNWhen any value is not less than K, returning to step SB3, which means returning to step SB3, removing the first one originally selected, adding one more in sequence, and reselecting N slopes kj;
step SB 5: sequentially obtaining a second-level slope difference value k1′＝|k2-k1|、k2′＝|k3-k2|、……、kN-1′＝|kN-1-kN|；
When k is1′、k2′、……、kN-1Selecting the corresponding last temperature value as the acquired temperature value when the temperature values are all less than K;
when k is1′、k2′、……、kN-1When any one value is not less than K, return to step SB 3;
the acquired temperature is progressively detected, the precision is adjusted according to the actual condition, the acquired temperature is ensured to meet the precision requirement of the pressure sensor, and the problem that the detected temperature can generate large errors when the detected temperature is used subsequently to influence the detection accuracy when the detected temperature is changed is solved;
at present, most pressure values acquired by the pressure sensors are not correct values, because the pressure sensors are influenced by the ambient temperature when measuring, the measurement results are inaccurate, and in some industries needing accurate measurement, unreal measurement values may generate larger potential safety hazards and economic losses, as shown in table 1, the pressure values acquired by the pressure sensors are influenced at different temperatures; therefore, the influence of temperature on the data acquisition of the pressure sensor needs to be eliminated by arranging a correction module;
TABLE 1
Figure BDA0003172136610000061
The correction module is used for correcting the influence of the ambient temperature on the pressure acquired by the pressure sensor, and the specific method comprises the following steps:
step SA 1: acquiring the models of the pressure sensors, and acquiring a plurality of groups of pressure values of the pressure sensors with corresponding models at different temperatures from the Internet according to the models of the pressure sensors; marking a plurality of groups of detected pressure values at different temperatures as analog values;
step SA 2: establishing a temperature curve model; inputting the analog value into a temperature curve model to obtain a temperature curve of the pressure sensor;
step SA 3: acquiring a pressure value and a temperature value acquired by a data acquisition module in real time; substituting the obtained temperature value into a temperature curve of the pressure sensor to obtain a temperature pressure value;
step SA 4: subtracting the temperature pressure value from the pressure value obtained by the data acquisition module to obtain a real pressure value;
by establishing a temperature curve model, inputting a simulation value into the temperature curve model to obtain a temperature curve of the pressure sensor, and accurately knowing the influence of different temperatures on pressure acquisition according to the obtained temperature curve of the pressure sensor; the obtained temperature value is substituted into a temperature curve of the pressure sensor to obtain a temperature pressure value, and then the temperature pressure value is subtracted from the pressure value obtained by the data acquisition module to obtain a real pressure value, so that the influence of temperature on pressure acquisition is eliminated, and the problems that the pressure sensor is influenced by the ambient temperature when in measurement, the measurement result is inaccurate, and large potential safety hazard and economic loss are possibly generated are solved;
the method for establishing the temperature curve model in the step SA2 comprises the following steps:
acquiring historical data of a temperature curve; the temperature curve historical data comprises an analog value and a corresponding temperature curve drawn according to the analog value, and the temperature curve is a curve relating to the pressure value and the temperature of the pressure sensor;
constructing an artificial intelligence model; the artificial intelligence model comprises an error reverse propagation neural network, an RBF neural network and a deep convolution neural network; dividing a plurality of groups of analog values and corresponding temperature curves drawn according to the analog values into a training set, a test set and a check set according to a set proportion; the set proportion comprises 2: 1: 1. 3: 2: 1 and 3: 1: 1;
training, testing and verifying the artificial intelligent model through a training set, a testing set and a verifying set; marking the trained artificial intelligence model as a temperature curve model;
in step SA1, pressure values of a plurality of groups of pressure sensors with corresponding models at different temperatures are obtained from the Internet according to the models of the pressure sensors; when the pressure values of the pressure sensors of the corresponding models at different temperatures are not obtained from the Internet;
setting a thermostatic bath, placing pressure sensors into the thermostatic bath, changing the temperature in the thermostatic bath, detecting pressure values of a plurality of groups of pressure sensors at different temperatures, and marking the detected pressure values at different temperatures as analog values;
the maintenance module is used for dispatching maintenance personnel to carry out maintenance when the system has faults, and the specific method comprises the following steps:
step SC 1: when the server receives a maintenance signal, acquiring personal information of a maintenance worker, wherein the personal information comprises age, gender, contact information and maintenance work age, and marking the maintenance worker as i, wherein i is 1, 2, … … and n, and n is a positive integer;
step SC 2: marking the service life of a maintenance worker as Pi;
step SC 3: acquiring the working state of a maintenance worker, wherein the working state comprises an idle state and a busy state, and marking the working state of the maintenance worker as Li;
step SC 4: acquiring the distance between a maintenance worker and a pressure sensor to be maintained, and marking the distance between the maintenance worker and the pressure sensor to be maintained as Mi; removing dimension and taking numerical value calculation are carried out on maintenance personnel, the maintenance working age of the maintenance personnel, the working state of the maintenance personnel and the distance between the maintenance personnel and the pressure sensor needing to be maintained;
step SC 5: obtaining a priority value Qi according to a formula Qi-lambda (b1 Pi b2 Li)/(b3 Mi +1), wherein b1, b2 and b3 are all proportional coefficients, the value range is 1< b1 is less than or equal to 2, 0< b2 is less than or equal to 1, 0< b3 is less than or equal to 1, lambda is a correction factor, the value range is 0< lambda is less than or equal to 1, when the working state of a maintenance worker is a busy state, Li is 0, and when the working state of the maintenance worker is an idle state, Li is 1;
step SC 6: and arranging the priority values Qi in the descending order, and dispatching the maintenance personnel with the first priority values Qi for maintenance.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.
The working principle of the invention is as follows: acquiring a directly detected temperature value TEi, establishing a temperature value coordinate system, and inputting the acquired temperature value TEi into the temperature value coordinate system; two adjacent temperature value TEi points are connected by a straight line to obtain a slope kj between the two adjacent temperature value TEi points, N slopes kj are sequentially selected in sequence, the first slope of the selected N slopes kj is marked as ka, a stable value K is set, and slope difference values K1, K2, … … and K are sequentially obtainedN(ii) a When k1, k2, … …, kNWhen the values are all less than K, entering step further; when k1, k2, … …, kNWhen any value is not less than K, returning to the previous step, and sequentially obtaining a second-level slope difference value K1′、k2′、……、kN-1', when k1′、k2′、……、kN-1Selecting the corresponding last temperature value as the acquired temperature value when the temperature values are all less than K;
correcting the influence of the ambient temperature on the pressure collected by the pressure sensor, acquiring the model of the pressure sensor, and acquiring a plurality of groups of pressure values of the pressure sensors with corresponding models at different temperatures from the Internet according to the model of the pressure sensor; marking a plurality of groups of detected pressure values at different temperatures as analog values; when the pressure values of the pressure sensors of the corresponding models at different temperatures are not obtained from the Internet; setting a thermostatic bath, placing pressure sensors into the thermostatic bath, changing the temperature in the thermostatic bath, detecting pressure values of a plurality of groups of pressure sensors at different temperatures, and marking the detected pressure values at different temperatures as analog values; establishing a temperature curve model; inputting the analog value into a temperature curve model to obtain a temperature curve of the pressure sensor; acquiring a pressure value and a temperature value acquired by a data acquisition module in real time; substituting the obtained temperature value into a temperature curve of the pressure sensor to obtain a temperature pressure value; subtracting the temperature pressure value from the pressure value obtained by the data acquisition module to obtain a real pressure value;
acquiring historical data of a temperature curve; the temperature curve historical data comprises an analog value and a corresponding temperature curve drawn according to the analog value, and the temperature curve is a curve relating to the pressure value and the temperature of the pressure sensor; constructing an artificial intelligence model; dividing a plurality of groups of analog values and corresponding temperature curves drawn according to the analog values into a training set, a test set and a check set according to a set proportion; training, testing and verifying the artificial intelligent model through a training set, a testing set and a verifying set; and marking the trained artificial intelligence model as a temperature curve model.
The acquired temperature is progressively detected, the precision is adjusted according to the actual condition, the acquired temperature is ensured to meet the precision requirement of the pressure sensor, and the problem that the detected temperature can generate large errors when the detected temperature is used subsequently to influence the detection accuracy when the detected temperature is changed is solved; by establishing a temperature curve model, inputting a simulation value into the temperature curve model to obtain a temperature curve of the pressure sensor, and accurately knowing the influence of different temperatures on pressure acquisition according to the obtained temperature curve of the pressure sensor; substituting the temperature value that will acquire into pressure sensor temperature curve, obtaining the temperature pressure value, will subtract the temperature pressure value from the pressure value that data acquisition module acquireed again, obtain true pressure value, eliminated the influence of temperature to pressure acquisition, solve pressure sensor when measuring, will receive ambient temperature's influence, lead to measuring result inaccurate, may produce great potential safety hazard and economic loss's problem.
In the embodiments provided by the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and there may be other divisions when the actual implementation is performed; the modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of the embodiment.
It will also be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above examples are only intended to illustrate the technical process of the present invention and not to limit the same, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical process of the present invention without departing from the spirit and scope of the technical process of the present invention.

Claims (9)

1. A big data based pressure sensor acquisition system, comprising: the system comprises a correction module, a data acquisition module and a server;
the data acquisition module is used for acquiring a pressure value and a temperature value;
the correction module is used for correcting the influence of the ambient temperature on the pressure acquired by the pressure sensor, and the specific method comprises the following steps:
step SA 1: acquiring the models of the pressure sensors, and acquiring a plurality of groups of pressure values of the pressure sensors with corresponding models at different temperatures from the Internet according to the models of the pressure sensors; marking a plurality of groups of detected pressure values at different temperatures as analog values;
step SA 2: establishing a temperature curve model; inputting the analog value into a temperature curve model to obtain a temperature curve of the pressure sensor;
step SA 3: acquiring a pressure value and a temperature value acquired by a data acquisition module in real time; substituting the obtained temperature value into a temperature curve of the pressure sensor to obtain a temperature pressure value;
step SA 4: and subtracting the temperature pressure value from the pressure value acquired by the data acquisition module to obtain a real pressure value.
2. The big data-based pressure sensor acquisition system according to claim 1, wherein, in step SA1, pressure values of a plurality of sets of pressure sensors with corresponding models at different temperatures are obtained from the internet according to the models of the pressure sensors;
when the pressure values of the pressure sensors of the corresponding models at different temperatures are not obtained from the Internet; setting a thermostatic bath, putting pressure sensors into the thermostatic bath, changing the temperature in the thermostatic bath, detecting pressure values of a plurality of groups of pressure sensors at different temperatures, and marking the detected pressure values of the plurality of groups at different temperatures as analog values.
3. The big data based pressure sensor acquisition system according to claim 1, wherein the method for acquiring the temperature value by the data acquisition module comprises:
step SB 1: acquiring a directly detected temperature value TEi, wherein i is 1, 2, … … and n, and n is a positive integer; the time interval between two adjacent detection temperature values TEi is t seconds;
establishing a temperature value coordinate system, and inputting the obtained temperature value TEi into the temperature value coordinate system;
step SB 2: two adjacent temperature value TEi points are connected by a straight line, and the slope kj between the two adjacent temperature value TEi points is obtained, wherein j is 1, 2, … … and n-1, and n is a positive integer;
step SB 3: sequentially selecting N slopes kj according to the sequence, and marking the first slope kj of the selected N slopes as ka;
step SB 4: setting a stable value K, and sequentially acquiring slope difference values K1 ═ ka +1-ka |, K2 ═ ka +2-ka +1|, … …, and kN ═ ka + N-ka + N-1 |;
when k1, k2, … …, kNIf both are less than K, go to step SB 5;
when k1, k2, … …, kNWhen any value is not less than K, returning to the step SB 3;
step SB 5: sequentially obtaining a second-level slope difference value k1′＝|k2-k1|、k2′＝|k3-k2|、……、kN-1′＝|kN-1-kN|；
When k is1′、k2′、……、kN-1When the values are all less than K, the corresponding last temperature value is selected as the acquired temperature value.
4. A big data based pressure sensor acquisition system according to claim 3, wherein in step SB5, when k is1′、k2′、……、kN-1When any one of the values is not less than K, the process returns to step SB 3.
5. The big-data based pressure sensor acquisition system of claim 3, wherein t has a value in the range of [5,10 ].
6. The big data based pressure sensor acquisition system of claim 3, wherein N is a proportionality coefficient and 10 ≧ N ≧ 6.
7. A big data based pressure sensor acquisition system as claimed in claim 3, where a e [1, j-N +1 ].
8. The big data based pressure sensor gathering system as recited in claim 1 further comprising a storage module for storing the data information generated by the correction module and the data gathering module.
9. The big data based pressure sensor acquisition system of claim 1, further comprising a maintenance module for dispatching maintenance personnel to perform maintenance when the system fails, the specific method comprising:
step SC 1: acquiring personal information of maintenance personnel, and marking the maintenance personnel as i;
step SC 2: marking the service life of a maintenance worker as Pi;
step SC 3: acquiring the working state of a maintenance worker, wherein the working state comprises an idle state and a busy state, and marking the working state of the maintenance worker as Li;
step SC 4: acquiring the distance between a maintenance worker and a pressure sensor to be maintained, and marking the distance between the maintenance worker and the pressure sensor to be maintained as Mi;
step SC 5: obtaining a priority value Qi according to a formula Qi-lambda (b1 Pi b2 Li)/(b3 Mi +1), wherein when the working state of the maintenance personnel is a busy state, Li is 0, and when the working state of the maintenance personnel is an idle state, Li is 1;
step SC 6: and arranging the priority values Qi in the descending order, and dispatching the maintenance personnel with the first priority values Qi for maintenance.
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CN114608741A (en) * 2022-03-07 2022-06-10 蚌埠高灵传感系统工程有限公司 Pressure sensor acquisition system based on big data

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114608741A (en) * 2022-03-07 2022-06-10 蚌埠高灵传感系统工程有限公司 Pressure sensor acquisition system based on big data

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