Detailed Description
The embodiment of the application provides the quality supervision method and the system for the electronic prevention and control project, solves the technical problems that the quality monitoring of the electronic prevention and control project is not intelligent enough and the monitoring quality and the efficiency are low in the prior art, and achieves the technical purpose of accurately detecting the equipment installation quality based on the training model so as to improve the efficiency of project quality monitoring. Hereinafter, example embodiments of the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
Electronic prevention and control engineering needs constructors to construct strictly according to requirements such as design drawings, construction organization design, safe operation rules, acceptance specifications and the like, engineering acceptance basically depends on manpower, and monitoring quality and efficiency of engineering quality need to be further improved. The prior art also has the technical problems of insufficient intellectualization of quality monitoring of electronic prevention and control engineering and lower monitoring quality and efficiency.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides an electronic prevention and control project quality supervision method, wherein the method comprises the following steps: acquiring first position information of first equipment, wherein the first equipment is monitoring equipment deployed at a specified position in an electronic prevention and control project; obtaining first engineering design scheme information; judging whether the first position information meets preset position information or not according to the first engineering design scheme information; if the first position information meets the preset position information, obtaining first installation strength of the first equipment; obtaining first installation environment information of the first device; inputting the first installation strength and the first installation environment information into a first training model, wherein the first training model is obtained by training a plurality of sets of training data, and each set of training data in the plurality of sets of training data comprises: the first installation strength, the first installation environment information and identification information for identifying whether the first installation strength is qualified; obtaining first output information of the first training model, wherein the first output information comprises a first result and a second result, the first result is a result that the first installation strength is qualified, and the second result is a result that the first installation strength is unqualified; if the first output information is the first result, performing equipment debugging on the first equipment to obtain first debugging result information; and storing the first debugging result information to the engineering quality detection system.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides a method for monitoring quality of electronic prevention and control engineering, where the method includes:
step S100: acquiring first position information of first equipment, wherein the first equipment is monitoring equipment deployed at a specified position in an electronic prevention and control project;
specifically, the electronic prevention and control engineering includes links such as ordering, installing, debugging and acceptance of monitoring equipment, and the quality and efficiency of project quality monitoring need to be enhanced when the project quality is enhanced. The first equipment is monitoring equipment which is deployed at a specified position in the electronic prevention and control project and comprises a camera, a fixed rod and equipment wiring, and a position information acquisition device arranged in the first equipment is used for acquiring first position information of the first equipment, so that whether the first equipment meets the design requirements of the project or not is judged according to the first position information.
Step S200: obtaining first engineering design scheme information;
specifically, the first engineering design scheme includes the construction process, the quality standard, the safety technical measures, the construction acceptance criteria of each equipment, and design changes and technical approval of relevant parts determined by the review of drawings. The electronic prevention and control engineering needs to be executed strictly according to the first engineering design scheme, so that the engineering quality can be ensured.
Step S300: judging whether the first position information meets preset position information or not according to the first engineering design scheme information;
specifically, according to the position deployment of the first device in the first engineering design scheme, the first engineering design scheme information is judged to judge whether the first position information meets the deployed preset position information, if yes, a subsequent quality inspector is carried out, and if not, the first position information is adjusted according to the first engineering design scheme.
Step S400: if the first position information meets the preset position information, obtaining first installation strength of the first equipment;
specifically, if the first position information satisfies the preset position information, the first installation strength is obtained by evaluating the material performance, installation height, corrosion resistance, installation stability, and the like of the first device, so that the installation quality is evaluated according to the installation strength of the first device.
Step S500: obtaining first installation environment information of the first device;
specifically, the first installation environment information is environment information of the first device installation location, for example, it is determined whether the first installation environment information has large dust, large wind power, and frequent rainy weather, and the installation quality of the first device is further evaluated by obtaining the first installation environment information.
Step S600: inputting the first installation strength and the first installation environment information into a first training model, wherein the first training model is obtained by training a plurality of sets of training data, and each set of training data in the plurality of sets of training data comprises: the first installation strength, the first installation environment information and identification information for identifying whether the first installation strength is qualified;
step S700: obtaining first output information of the first training model, wherein the first output information comprises a first result and a second result, the first result is a result that the first installation strength is qualified, and the second result is a result that the first installation strength is unqualified;
specifically, the first training model is a machine learning model, and the machine learning model can continuously learn through a large amount of data, further continuously modify the model, and finally obtain satisfactory experience to process other data. The machine model is obtained by training a plurality of groups of training data, and the process of training the neural network model by the training data is essentially a process of supervised learning. Each set of training data in the plurality of sets of training data comprises: the first installation strength, the first installation environment information and identification information for identifying whether the first installation strength is qualified; under the condition of obtaining the first installation strength and the first installation environment information, the machine learning model outputs identification information indicating whether the first installation strength is qualified or not, the first installation strength output by the machine learning model is verified whether to be qualified or not according to whether the first installation strength of the identification is qualified or not, if the first installation strength output by the machine learning model is qualified or not and is consistent with the first installation strength of the identification, the data supervised learning is finished, and then the next group of data supervised learning is carried out; and if the output first installation strength is qualified or not and the first installation strength of the identifier is not qualified or not, adjusting the machine learning model by the machine learning model, and performing supervised learning on the next group of data until the machine learning model reaches the expected accuracy. The machine learning model is continuously corrected and optimized through training data, the accuracy of the machine learning model for processing the data is improved through a supervised learning process, and then the accurate first output information is obtained, wherein the first output information comprises a first result and a second result, the first result is the result with qualified first installation strength, and the second result is the result with unqualified first installation strength.
Step S800: if the first output information is the first result, performing equipment debugging on the first equipment to obtain first debugging result information;
specifically, if the first training model outputs the first result information, that is, the first installation strength is qualified, performing a next quality detection operation, and performing device debugging on the first device, including debugging the first device monitoring picture quality, the monitoring range, and the interface function. If the first installation strength is not qualified, reinstalling or adjusting the first equipment according to the first installation environment information.
Step S900: and storing the first debugging result information to an engineering quality detection system.
Specifically, the engineering quality detection system is used for storing and processing data for quality detection of the first equipment and obtaining a detection result. And after the first equipment is debugged, storing the debugging result to the engineering quality detection system.
Further, before obtaining the first position information, step S100 in the embodiment of the present application further includes:
step S101: judging whether first production qualified information exists in the first equipment;
step S102: if the first production qualified information exists in the first equipment, acquiring a first installation requirement of the first equipment;
step S103: obtaining a first design requirement of the first equipment according to the first engineering design scheme information;
step S104: judging whether a first installation requirement of the first equipment meets the first design requirement;
step S105: and if the first installation requirement of the first equipment meets the first design requirement, obtaining first position information of the first equipment.
Specifically, before the first device is installed, device inspection is required, appearance, model specification, quantity, signs, labels, product certificates, production place certificates, specifications and technical document data of the installed device are inspected, whether the device is a factory original product is checked, and if the device passes the inspection, the first device has first production qualified information. And then obtaining a first installation requirement of the first equipment through an equipment installation specification, wherein the first installation requirement comprises an installation line requirement, an installation operation requirement and the like of the first equipment, so that whether the first installation requirement of the first equipment meets the first design requirement is judged according to the first engineering design scheme information, if so, the position information of the first equipment is further obtained, and if not, the first equipment is adjusted according to the first design requirement.
Further, step S400 in the embodiment of the present application further includes:
step S401: obtaining a first wind resistance level of a first installation upright, wherein the first installation upright is a component of the first equipment;
step S402: obtaining first material information of the first installation upright;
step S403: obtaining a first corrosion resistance rating of the first installation pole from the first material information;
step S404: inputting the first wind resistance level and the first corrosion resistance level into a second training model, wherein the second training model is obtained by training a plurality of sets of training data, and each set of training data in the plurality of sets comprises: the first wind resistance level, the first corrosion resistance level, and identification information for identifying the first installation strength;
step S405: obtaining second output information of the second training model, wherein the second output information is the first installation strength.
Specifically, a first wind resistance level is obtained by testing wind resistance strength of a first installation vertical rod in the first equipment, corrosion resistance degree of the first installation vertical rod is obtained according to first material information of the first installation vertical rod, the first wind resistance level and the first corrosion resistance level are input into a second training model, and data can be processed based on the characteristics that the training model can continuously learn and acquire experience, so that accurate first installation strength is obtained.
Further, step S401 in the embodiment of the present application further includes:
step S4011: obtaining first wind speed test information;
step S4012: obtaining a first swing amplitude of a first installation vertical rod according to the first wind speed test information;
step S4013: obtaining first vibration frequency information of the first installation vertical rod;
step S4014: and determining the wind resistance level of the first installation vertical rod according to the first swing amplitude and the first vibration frequency.
Specifically, the wind speed of the first installation vertical rod is tested, and the wind resistance level of the first installation vertical rod is determined by testing the swing amplitude and the vibration frequency of the first installation vertical rod under different wind speeds.
Further, step S800 in the embodiment of the present application further includes:
step S801: obtaining first function detection result information of the first equipment according to the first debugging result;
step S802: judging whether the first function detection result information meets a second design requirement or not according to the first engineering design scheme information;
step S803: if the first function detection result information does not meet the second design requirement, first mark information is obtained;
step S804: and marking the first equipment according to the first marking information.
Specifically, the first function detection result information is a detection result of the rotation of a holder of the monitoring device in the first device, the adjustment of a lens and an aperture, focusing, zooming, image switching, and a function of a protective cover in the first debugging result. And judging whether the first function detection result information meets the corresponding design requirements or not according to the first engineering design scheme information, and if not, marking the first equipment so as to perform subsequent adjustment or equipment replacement.
Further, step S803 in the embodiment of the present application further includes:
step S8031: obtaining a first monitoring range of the first device;
step S8032: inputting the first monitoring range and the first engineering design scheme information into a third training model, wherein the third training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups of training data comprises: the first monitoring range, the first engineering design scheme information and identification information for identifying whether the first monitoring range is qualified or not;
step S8033: obtaining third output information of the third training model, wherein the third output information comprises a third result and a fourth result, the third result is a result that the first monitoring range is qualified, and the fourth result is a result that the first monitoring range is unqualified;
step S8034: and if the third output information is the fourth result, adjusting the first position information.
Specifically, by obtaining a first monitoring range of the first device, and inputting the first monitoring range and the first engineering design scheme information to the third training model, the accurate third output result is obtained based on the characteristic that the training model can continuously learn and acquire experience to process data, and whether to adjust the first position information is determined according to the third output result.
Further, step S8034 in the embodiment of the present application further includes:
step S80341: obtaining first image information, wherein the first image information is image information of the first equipment installation environment;
step S80342: determining a first adjustable region of the first device according to the first image information;
step S80343: adjusting the first equipment according to the first adjustable area to obtain second position information;
step S80344: obtaining a first adjustable angle according to the second position information;
step S80345: and adjusting the second position information according to the first adjustable angle.
Specifically, the first device obtains image information of the installation environment of the first device, and then determines the adjustable range of the first device according to the installation environment of the first device, so as to replan the position information of the first device, and adjust the fixed angle of the first device according to the second position information after the second position information is determined.
To sum up, the method for supervising the quality of the electronic prevention and control project provided by the embodiment of the application has the following technical effects:
the engineering quality detection system is adopted to judge whether the equipment installation position meets the design requirements, and the installation strength and the installation environment of the equipment are input into the training model, so that the installation quality of the equipment is accurately detected, and the training model can continuously learn and acquire the experience to process data, so that the technical purpose of accurately detecting the equipment installation quality based on the training model and improving the efficiency of engineering quality monitoring is achieved.
Example two
Based on the same inventive concept as the quality supervision method of the electronic prevention and control project in the foregoing embodiment, the present invention further provides an electronic prevention and control project quality supervision system, as shown in fig. 2, the system includes:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain first location information of a first device, where the first device is a monitoring device deployed at a specified location in an electronic prevention and control project;
a second obtaining unit 12, wherein the second obtaining unit 12 is configured to obtain the first engineering design solution information;
a first judging unit 13, where the first judging unit 13 is configured to judge whether the first location information satisfies preset location information according to the first engineering design solution information;
a third obtaining unit 14, where the third obtaining unit 14 is configured to obtain a first installation strength of the first device if the first location information meets the preset location information;
a fourth obtaining unit 15, the fourth obtaining unit 15 being configured to obtain first installation environment information of the first device;
a first input unit 16, where the first input unit 16 is configured to input the first installation strength and the first installation environment information into a first training model, where the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the first installation strength, the first installation environment information and identification information for identifying whether the first installation strength is qualified;
a fifth obtaining unit 16, where the fifth obtaining unit 16 is configured to obtain first output information of the first training model, where the first output information includes a first result and a second result, the first result is a result that the first installation strength is qualified, and the second result is a result that the first installation strength is unqualified;
a sixth obtaining unit 17, where the sixth obtaining unit 17 is configured to, if the first output information is the first result, perform device debugging on the first device, and obtain first debugging result information;
a first storage unit 18, where the first storage unit 18 is used to store the first debugging result information in the engineering quality detection system.
Further, the system further comprises:
a second judging unit, configured to judge whether the first device has first production qualified information;
a seventh obtaining unit, configured to obtain a first installation requirement of the first device if the first device has the first production qualified information;
an eighth obtaining unit, configured to obtain a first design requirement of the first device according to the first engineering design scenario information;
a third judging unit configured to judge whether or not a first installation requirement of the first device satisfies the first design requirement;
a ninth obtaining unit, configured to obtain first location information of the first device if the first installation requirement of the first device meets the first design requirement.
Further, the system further comprises:
a tenth obtaining unit, configured to obtain a first wind resistance level of a first installation vertical rod, where the first installation vertical rod is a component of the first device;
an eleventh obtaining unit for obtaining first material information of the first mounting upright;
a twelfth obtaining unit for obtaining a first corrosion resistance rating of the first installation pole from the first material information;
a second input unit, configured to input the first wind resistance level and the first corrosion resistance level into a second training model, where the second training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the first wind resistance level, the first corrosion resistance level, and identification information for identifying the first installation strength;
a thirteenth obtaining unit, configured to obtain second output information of the second training model, where the second output information is the first installation strength.
Further, the system further comprises:
a fourteenth obtaining unit for obtaining the first wind speed test information;
a fifteenth obtaining unit, configured to obtain a first swing amplitude of a first installation vertical rod according to the first wind speed test information;
a sixteenth obtaining unit, configured to obtain first vibration frequency information of the first installation vertical rod;
a seventeenth obtaining unit, configured to determine, from the first swing amplitude and the first vibration frequency, a wind resistance level of the first installation vertical rod.
Further, the system further comprises:
an eighteenth obtaining unit, configured to obtain first function detection result information of the first device according to the first debugging result;
a fourth judging unit, configured to judge whether the first function detection result information meets a second design requirement according to the first engineering design scheme information;
a nineteenth obtaining unit, configured to obtain first mark information if the first function detection result information does not meet the second design requirement;
a first execution unit, configured to mark the first device according to the first mark information.
Further, the system further comprises:
a twentieth obtaining unit, configured to obtain a first monitoring range of the first device;
a third input unit, configured to input the first monitoring range and the first engineering design solution information into a third training model, where the third training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the first monitoring range, the first engineering design scheme information and identification information for identifying whether the first monitoring range is qualified or not;
a twenty-first obtaining unit, configured to obtain third output information of the third training model, where the third output information includes a third result and a fourth result, the third result is a result that the first monitoring range is qualified, and the fourth result is a result that the first monitoring range is unqualified;
a first adjusting unit, configured to adjust the first position information if the third output information is the fourth result.
Further, the system further comprises:
a twenty-second obtaining unit configured to obtain first image information, wherein the first image information is image information of the first device installation environment;
a twenty-third obtaining unit, configured to determine a first adjustable region of the first device according to the first image information;
a twenty-fourth obtaining unit, configured to adjust the first device according to the first adjustable region, to obtain second location information;
a twenty-fifth obtaining unit, configured to obtain a first adjustable angle according to the second position information;
and the second adjusting unit is used for adjusting the second position information according to the first adjustable angle.
Various changes and specific examples of the quality supervision method for electronic prevention and control engineering in the first embodiment of fig. 1 are also applicable to the quality supervision system for electronic prevention and control engineering in the present embodiment, and through the foregoing detailed description of the quality supervision method for electronic prevention and control engineering, those skilled in the art can clearly know the quality supervision system for electronic prevention and control engineering in the present embodiment, so for the brevity of the description, detailed descriptions are omitted here.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the quality supervision method for electronic prevention and control engineering in the foregoing embodiments, the present invention further provides an electronic prevention and control engineering quality supervision system, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of any one of the foregoing methods of the quality supervision method for electronic prevention and control engineering.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The embodiment of the application provides an electronic prevention and control project quality supervision method, wherein the method comprises the following steps: acquiring first position information of first equipment, wherein the first equipment is monitoring equipment deployed at a specified position in an electronic prevention and control project; obtaining first engineering design scheme information; judging whether the first position information meets preset position information or not according to the first engineering design scheme information; if the first position information meets the preset position information, obtaining first installation strength of the first equipment; obtaining first installation environment information of the first device; inputting the first installation strength and the first installation environment information into a first training model, wherein the first training model is obtained by training a plurality of sets of training data, and each set of training data in the plurality of sets of training data comprises: the first installation strength, the first installation environment information and identification information for identifying whether the first installation strength is qualified; obtaining first output information of the first training model, wherein the first output information comprises a first result and a second result, the first result is a result that the first installation strength is qualified, and the second result is a result that the first installation strength is unqualified; if the first output information is the first result, performing equipment debugging on the first equipment to obtain first debugging result information; and storing the first debugging result information to the engineering quality detection system.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.