CN112350440B - Operation supervision system based on intelligent module component of case - Google Patents
Operation supervision system based on intelligent module component of case Download PDFInfo
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- CN112350440B CN112350440B CN202011195259.8A CN202011195259A CN112350440B CN 112350440 B CN112350440 B CN 112350440B CN 202011195259 A CN202011195259 A CN 202011195259A CN 112350440 B CN112350440 B CN 112350440B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
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Abstract
本发明公开了一种基于机箱智能化模块组件的运行监管系统，属于配电箱数据监控技术领域，用于解决如何对配电箱数据进行分析计算以及选取对应的传输方式，从而合理的对配电箱数据智能化监管的问题，包括数据采集模块、传输分析模块、传输验证模块和云平台；所述数据采集模块用于采集配电箱的机箱数据并进行缓存；所述机箱数据包括机箱内元件产生的运行信息；本发明通过蓝传值选取对应的优选人员，通过优选人员的手机终端将数据传输至云平台内，通过合理的对配电箱数据进行分析计算以及选取对应的传输方式，从而对配电箱数据进行合理的监管。
The invention discloses an operation supervision system based on an intelligent module assembly of a chassis, which belongs to the technical field of data monitoring of distribution boxes, and is used for solving the problem of how to analyze and calculate the data of the distribution box and select a corresponding transmission mode, so as to reasonably match The problem of intelligent supervision of electrical box data includes a data acquisition module, a transmission analysis module, a transmission verification module and a cloud platform; the data acquisition module is used to collect and cache the chassis data of the distribution box; the chassis data includes The operation information generated by the components; the present invention selects the corresponding preferred personnel through the blue transmission value, transmits the data to the cloud platform through the mobile phone terminal of the preferred personnel, and reasonably analyzes and calculates the distribution box data and selects the corresponding transmission method, So as to reasonably supervise the distribution box data.
Description
Technical Field
The invention relates to the technical field of distribution box data monitoring, in particular to an operation supervision system based on a chassis intelligent module component.
Background
The distribution box is a mass parameter on data, generally forms a low-voltage forest according to electrical wiring, and requires that a switch device, a measuring instrument, a protective electrical appliance and an auxiliary device are assembled in a closed or semi-closed metal cabinet or on a screen to form the low-voltage distribution box. In normal operation, the circuit can be switched on or off by means of a manual or automatic switch. The distribution box has the characteristics of small volume, simple and convenient installation, special technical performance, fixed position, unique configuration function, no field limitation, universal application, stable and reliable operation, high space utilization rate, less occupied area and environmental protection effect, and the data transmission of the distribution box is in a wired RS485 mode remotely. The wired connection mode may be limited by the field, exposed in the open air, and easily damaged by the mobile machine, so that the data cannot be transmitted.
The existing distribution box supervision has the problems that analysis calculation cannot be carried out on distribution box data and a corresponding transmission mode cannot be selected, so that the distribution box data are reasonably supervised intelligently.
Disclosure of Invention
The invention aims to provide an operation supervision system based on an intelligent module component of a case, aiming at solving the problem of reasonably and intelligently supervising the data of a distribution box by analyzing and calculating the data of the distribution box and selecting a corresponding transmission mode; the method comprises the steps of matching the name of an element to be transmitted with the name of an element corresponding to a transmission mode, and sending a total compression package of the element to be transmitted to a cloud platform for storage through 5G communication when the matched transmission mode is 5G communication transmission; when the matched transmission mode is Bluetooth transmission, performing mobile phone matching analysis, performing normalization processing on the transmission interval, the registration time, the terminal value and the mobile phone package residual flow, and taking the numerical value; obtaining a blue transmission value MZ of the primary selection personnel by using a formula; selecting corresponding optimized personnel through the blue transmission value, transmitting data to the cloud platform through mobile phone terminals of the optimized personnel, and reasonably supervising the distribution box data through reasonably analyzing and calculating the distribution box data and selecting a corresponding transmission mode;
the purpose of the invention can be realized by the following technical scheme: an operation supervision system based on a chassis intelligent module assembly comprises a data acquisition module, a transmission analysis module, a transmission verification module and a cloud platform;
the data acquisition module is used for acquiring and caching the cabinet data of the distribution box; the chassis data includes operational information generated by components within the chassis; wherein the operation information includes names of elements, temperature, humidity, current and voltage at the time of operation;
the transmission analysis module is used for carrying out transmission analysis on the chassis data, and the specific analysis steps are as follows:
the method comprises the following steps: compressing the operation information generated by the element every day to obtain an information compression packet; identifying the file size of the information compression packet to obtain the storage size of the information compression packet;
step two: setting the names of all elements in the case to correspond to a preset value, matching the elements with all elements in the machine to obtain the corresponding preset value, and marking the preset value as K1;
step three: counting the number of days of element caching and marking as K2; summing the sizes of all information compression packets corresponding to the element caching days to obtain a total caching size and marking the total caching size as K3;
step four: normalizing the preset value, the number of cached days and taking the numerical values; obtaining an information transmission value KZ by using a formula KZ of K1 × b1+ K2 × b2+ K3 × b 3; wherein b1, b2 and b3 are all preset proportionality coefficients;
step five: when the information transmission value KZ is larger than the set element threshold value, all information compression packages of the element in the caching days are compressed again to obtain a total compression package, and the element is marked as an element to be transmitted;
step six: acquiring all transmission modes of the element, wherein the transmission modes comprise 5G communication transmission and Bluetooth transmission; the transmission modes are provided with corresponding element names;
step seven: matching the name of the element to be transmitted with the element name corresponding to the transmission mode, and when the matched transmission mode is 5G communication transmission, sending the total compression package of the element to be transmitted to the cloud platform for storage through 5G communication; when the matched transmission mode is Bluetooth transmission, performing mobile phone matching analysis, and specifically comprising the following steps:
s71: acquiring the position of a distribution box where an element to be transmitted is located, drawing a circle with a preset radius by taking the position of the distribution box as a circle center, and obtaining a screening range; sending a position acquisition instruction to a mobile phone terminal of a person to be selected and acquiring the current real-time position of the mobile phone terminal;
s72: the method comprises the steps that registrars with current real-time positions within a screening range are marked as primary-selected staffs, a transmission analysis module obtains staff information of the primary-selected staffs through a cloud platform, time difference calculation is carried out on the registration time of the primary-selected staffs and the current time of a system to obtain the registration time of the primary-selected staffs, and the registration time is marked as M1;
s73: setting all mobile phone terminal models to correspond to a terminal value, matching the mobile phone terminal model of the primary selection person with all mobile phone terminal models to obtain a corresponding terminal value, and marking the terminal value as M2;
s74: acquiring the residual flow of the mobile phone package of the initially selected person and marking the residual flow as M3; calculating the distance difference between the current real-time position of the mobile phone terminal of the primary selection person and the position of the distribution box to obtain a transmission distance, and marking the transmission distance as M4; carrying out normalization processing on the transmission interval, the registration time length, the terminal value and the residual flow of the mobile phone package and taking the numerical values;
s75: using formulas
Obtaining a blue transmission value MZ of the primary selection personnel; wherein d1, d2, d3, d4 and d5 are all preset proportionality coefficients; m5 is the transmission total product value of the primary selection personnel;
s76: marking the primary selected person with the largest blue transmission value as an optimal person, sending the position of the distribution box and a Bluetooth transmission instruction to a mobile phone terminal of the optimal person by a transmission analysis module, and marking the moment of sending the Bluetooth transmission instruction as a sending moment; meanwhile, the transmission analysis module sends the mobile phone number of the preferred person and the position of the distribution box to the transmission verification module;
s77: after receiving the position of the distribution box and the Bluetooth transmission instruction, the mobile phone terminal of the preferred personnel reaches the position of the distribution box and is verified through the transmission verification module, and after the verification is successful; the transmission analysis module is in Bluetooth connection with a mobile phone terminal of an optimized person, encrypts a total compression package of an element to be transmitted, and transmits the total compression package to the mobile phone terminal of the optimized person through Bluetooth; the optimized personnel send the total compression package to the cloud platform through the mobile phone terminal, and the total sending times of the optimized personnel are increased once.
The transmission verification module is used for verifying the preferred personnel and calculating the total transmission product value of the preferred personnel, and comprises the following specific steps:
s1: the optimized personnel sends a current real-time position and a transmission starting instruction to the transmission verification module through the mobile phone terminal, the transmission verification module matches the current real-time position and the mobile phone number of the optimized personnel with the stored mobile phone number and the position of the distribution box, when the current real-time position and the mobile phone number are matched with the stored mobile phone number and the stored position of the distribution box, verification is successful, and meanwhile, the transmission verification module marks the moment of receiving the transmission starting instruction as a starting moment;
s2: calculating the time difference between the starting time and the sending time to obtain an execution duration and marking the execution duration as T1; when the execution time length is less than a set time length threshold KS; then, the total transmission value is calculated, and the specific calculation steps are as follows:
s21: acquiring a transmission distance M4 of a preferred person; the method comprises the steps that the execution duration and the transmission distance of a preferred person are subjected to dimension removal processing, the numerical values are taken, and a single transmission value DS of the preferred person is obtained by using a formula DS (M4 x d6+ (KS-T1) x d 7; d6 and d7 are preset proportionality coefficients, KS is M4 × d8, and d8 is a distance duration conversion coefficient;
s22: and summing all single transmission values DS of the preferred personnel to obtain a total transmission product value of the preferred personnel, and sending the total transmission product value to the cloud platform for storage.
The cloud platform is used for receiving the personnel information and transmitting the personnel information and the transmission time period to the cloud platform; after receiving the transmission time period, the cloud platform marks the registered personnel as the personnel to be selected in the transmission time period; the personnel information comprises name, mobile phone model, age and mobile phone number.
Preferably, the system further comprises a supervision analysis module; the supervision analysis module is used for supervising the case data, and specifically comprises the following steps: the setting elements correspond to an abnormal early warning value group, the abnormal early warning value group is composed of a plurality of early warning threshold values, and the abnormal early warning value group corresponds to data in the operation information one by one; and when the data in the operation information is larger than the corresponding early warning threshold value, generating an early warning instruction, and sending the early warning instruction corresponding to the element to a computer terminal of a worker by the monitoring analysis module.
Compared with the prior art, the invention has the beneficial effects that:
1. the data acquisition module is used for acquiring and caching the cabinet data of the distribution box; the case data comprises operation information generated by elements in the case; the transmission analysis module is used for carrying out transmission analysis on the chassis data and compressing the operation information generated by the elements every day to obtain an information compression packet; normalizing the preset value, the number of cached days and taking the numerical values; obtaining an information transmission value KZ by using a formula; when the information transmission value is larger than the set element threshold value, carrying out secondary compression on all information compression packages of the element in the number of caching days to obtain a total compression package, acquiring all transmission modes of the element, matching the name of the element to be transmitted with the element name corresponding to the transmission mode, and when the matched transmission mode is 5G communication transmission, sending the total compression package of the element to be transmitted to the cloud platform through 5G communication for storage; when the matched transmission mode is Bluetooth transmission, performing mobile phone matching analysis, performing normalization processing on the transmission interval, the registration time, the terminal value and the mobile phone package residual flow, and taking the numerical value; obtaining a blue transmission value MZ of the primary selection personnel by using a formula; the corresponding optimized personnel are selected through the blue transmission value, the data are transmitted to the cloud platform through the mobile phone terminals of the optimized personnel, analysis calculation is carried out on the distribution box data reasonably, and the corresponding transmission mode is selected, so that the distribution box data are reasonably supervised.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of 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.
Referring to fig. 1, an operation monitoring system based on a chassis intelligent module assembly includes a data acquisition module, a transmission analysis module, a transmission verification module, a cloud platform, a registration and login module, and a monitoring analysis module;
the data acquisition module is used for acquiring and caching the cabinet data of the distribution box; the case data comprises operation information generated by elements in the case; wherein the operation information includes names of elements, temperature, humidity, current and voltage at the time of operation;
the transmission analysis module is used for carrying out transmission analysis on the chassis data, and the specific analysis steps are as follows:
the method comprises the following steps: compressing the operation information generated by the element every day to obtain an information compression packet; identifying the file size of the information compression packet to obtain the storage size of the information compression packet;
step two: setting the names of all elements in the case to correspond to a preset value, matching the elements with all elements in the machine to obtain the corresponding preset value, and marking the preset value as K1;
step three: counting the number of days of element caching and marking as K2; summing the sizes of all information compression packets corresponding to the element caching days to obtain a total caching size and marking the total caching size as K3;
step four: normalizing the preset value, the number of cached days and taking the numerical values; obtaining an information transmission value KZ by using a formula KZ of K1 × b1+ K2 × b2+ K3 × b 3; wherein b1, b2 and b3 are all preset proportionality coefficients;
step five: when the information transmission value KZ is larger than the set element threshold value, all information compression packages of the element in the caching days are compressed again to obtain a total compression package, and the element is marked as an element to be transmitted;
step six: acquiring all transmission modes of the element, wherein the transmission modes comprise 5G communication transmission and Bluetooth transmission; the transmission modes are provided with corresponding element names;
step seven: matching the name of the element to be transmitted with the element name corresponding to the transmission mode, and when the matched transmission mode is 5G communication transmission, sending the total compression package of the element to be transmitted to the cloud platform for storage through 5G communication; when the matched transmission mode is Bluetooth transmission, performing mobile phone matching analysis, and specifically comprising the following steps:
s71: acquiring the position of a distribution box where an element to be transmitted is located, drawing a circle with a preset radius by taking the position of the distribution box as a circle center, and obtaining a screening range; sending a position acquisition instruction to a mobile phone terminal of a person to be selected and acquiring the current real-time position of the mobile phone terminal;
s72: the method comprises the steps that registrars with current real-time positions within a screening range are marked as primary-selected staffs, a transmission analysis module obtains staff information of the primary-selected staffs through a cloud platform, time difference calculation is carried out on the registration time of the primary-selected staffs and the current time of a system to obtain the registration time of the primary-selected staffs, and the registration time is marked as M1;
s73: setting all mobile phone terminal models to correspond to a terminal value, matching the mobile phone terminal model of the primary selection person with all mobile phone terminal models to obtain a corresponding terminal value, and marking the terminal value as M2;
s74: acquiring the residual flow of the mobile phone package of the initially selected person and marking the residual flow as M3; calculating the distance difference between the current real-time position of the mobile phone terminal of the primary selection person and the position of the distribution box to obtain a transmission distance, and marking the transmission distance as M4; carrying out normalization processing on the transmission interval, the registration time length, the terminal value and the residual flow of the mobile phone package and taking the numerical values;
s75: using formulas
Obtaining a blue transmission value MZ of the primary selection personnel; wherein d1, d2, d3, d4 and d5 are all preset proportionality coefficients; m5 is the transmission total product value of the primary selection personnel;
s76: marking the primary selected person with the largest blue transmission value as an optimal person, sending the position of the distribution box and a Bluetooth transmission instruction to a mobile phone terminal of the optimal person by a transmission analysis module, and marking the moment of sending the Bluetooth transmission instruction as a sending moment; meanwhile, the transmission analysis module sends the mobile phone number of the preferred person and the position of the distribution box to the transmission verification module;
s77: after receiving the position of the distribution box and the Bluetooth transmission instruction, the mobile phone terminal of the preferred personnel reaches the position of the distribution box and is verified through the transmission verification module, and after the verification is successful; the transmission analysis module is in Bluetooth connection with a mobile phone terminal of an optimized person, encrypts a total compression package of an element to be transmitted, and transmits the total compression package to the mobile phone terminal of the optimized person through Bluetooth; the optimized personnel send the total compression package to the cloud platform through the mobile phone terminal, and the total sending times of the optimized personnel are increased once.
The transmission verification module is used for verifying the preferred personnel and calculating the total transmission product value of the preferred personnel, and comprises the following specific steps:
s1: the optimized personnel sends a current real-time position and a transmission starting instruction to the transmission verification module through the mobile phone terminal, the transmission verification module matches the current real-time position and the mobile phone number of the optimized personnel with the stored mobile phone number and the position of the distribution box, when the current real-time position and the mobile phone number are matched with the stored mobile phone number and the stored position of the distribution box, verification is successful, and meanwhile, the transmission verification module marks the moment of receiving the transmission starting instruction as a starting moment;
s2: calculating the time difference between the starting time and the sending time to obtain an execution duration and marking the execution duration as T1; when the execution time length is less than a set time length threshold KS; then, the total transmission value is calculated, and the specific calculation steps are as follows:
s21: acquiring a transmission distance M4 of a preferred person; the method comprises the steps that the execution duration and the transmission distance of a preferred person are subjected to dimension removal processing, the numerical values are taken, and a single transmission value DS of the preferred person is obtained by using a formula DS (M4 x d6+ (KS-T1) x d 7; d6 and d7 are preset proportionality coefficients, KS is M4 × d8, and d8 is a distance duration conversion coefficient;
s22: and summing all single transmission values DS of the preferred personnel to obtain a total transmission product value of the preferred personnel, and sending the total transmission product value to the cloud platform for storage.
The registration login module is used for submitting personnel information and a transmission time period for registration by a user and sending the personnel information and the transmission time period which are successfully registered to the cloud platform, and meanwhile, the cloud platform marks the moment of receiving the personnel information as the registration moment and marks the user who is successfully registered as a registrant; after receiving the transmission time period, the cloud platform marks the registered personnel as the personnel to be selected in the transmission time period; the personnel information comprises name, mobile phone model, age and mobile phone number.
The supervision analysis module is used for supervising the case data, and specifically comprises the following steps: the setting elements correspond to an abnormal early warning value group, the abnormal early warning value group is composed of a plurality of early warning threshold values, and the abnormal early warning value group corresponds to data in the operation information one by one; such as: the temperature corresponds to a temperature threshold value, and the humidity corresponds to a humidity threshold value;
when the data in the operation information is larger than the corresponding early warning threshold value, generating an early warning instruction, and sending the early warning instruction corresponding to the element to a computer terminal of a worker by a monitoring analysis module;
the above formulas are obtained by collecting a large amount of data and performing software simulation, and the coefficients in the formulas are set by those skilled in the art according to actual conditions.
When the data acquisition module is used, the data acquisition module is used for acquiring and caching the cabinet data of the distribution box; the case data comprises operation information generated by elements in the case; the transmission analysis module is used for carrying out transmission analysis on the chassis data and compressing the operation information generated by the elements every day to obtain an information compression packet; normalizing the preset value, the number of cached days and taking the numerical values; obtaining an information transmission value KZ by using a formula KZ of K1 × b1+ K2 × b2+ K3 × b 3; when the information transmission value KZ is larger than the set element threshold value, carrying out secondary compression on all information compression packages of the element in the number of caching days to obtain a total compression package, acquiring all transmission modes of the element, matching the name of the element to be transmitted with the element name corresponding to the transmission mode, and when the matched transmission mode is 5G communication transmission, sending the total compression package of the element to be transmitted to the cloud platform through 5G communication for storage; when the matched transmission mode is Bluetooth transmission, performing mobile phone matching analysis, performing normalization processing on the transmission interval, the registration time, the terminal value and the mobile phone package residual flow, and taking the numerical value; using formulas
Obtaining a blue transmission value MZ of the primary selection personnel; corresponding optimized personnel are selected through the blue transmission value, data are transmitted to the cloud platform through mobile phone terminals of the optimized personnel, analysis and calculation are carried out on the data of the distribution box reasonably, and corresponding transmission parties are selectedAnd (4) reasonably supervising the data of the distribution box.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (3)
1. An operation supervision system based on a chassis intelligent module component is characterized by comprising a data acquisition module, a transmission analysis module, a transmission verification module and a cloud platform;
the data acquisition module is used for acquiring and caching the cabinet data of the distribution box; the chassis data includes operational information generated by components within the chassis; wherein the operation information includes names of elements, temperature, humidity, current and voltage at the time of operation;
the transmission analysis module is used for carrying out transmission analysis on the chassis data, and the specific analysis steps are as follows:
the method comprises the following steps: compressing the operation information generated by the element every day to obtain an information compression packet; identifying the file size of the information compression packet to obtain the storage size of the information compression packet;
step two: setting the names of all elements in the case to correspond to a preset value, matching the elements with all elements in the machine to obtain the corresponding preset value, and marking the preset value as K1;
step three: counting the number of days of element caching and marking as K2; summing the sizes of all information compression packets corresponding to the element caching days to obtain a total caching size and marking the total caching size as K3;
step four: normalizing the preset value, the number of cached days and taking the numerical values; obtaining an information transmission value KZ by using a formula KZ of K1 × b1+ K2 × b2+ K3 × b 3; wherein b1, b2 and b3 are all preset proportionality coefficients;
step five: when the information transmission value KZ is larger than the set element threshold value, all information compression packages of the element in the caching days are compressed again to obtain a total compression package, and the element is marked as an element to be transmitted;
step six: acquiring all transmission modes of the element, wherein the transmission modes comprise 5G communication transmission and Bluetooth transmission; the transmission modes are provided with corresponding element names;
step seven: matching the name of the element to be transmitted with the element name corresponding to the transmission mode, and when the matched transmission mode is 5G communication transmission, sending the total compression package of the element to be transmitted to the cloud platform for storage through 5G communication; when the matched transmission mode is Bluetooth transmission, performing mobile phone matching analysis, and specifically comprising the following steps:
s71: acquiring the position of a distribution box where an element to be transmitted is located, drawing a circle with a preset radius by taking the position of the distribution box as a circle center, and obtaining a screening range; sending a position acquisition instruction to a mobile phone terminal of a person to be selected and acquiring the current real-time position of the mobile phone terminal;
s72: the method comprises the steps that registrars with current real-time positions within a screening range are marked as primary-selected staffs, a transmission analysis module obtains staff information of the primary-selected staffs through a cloud platform, time difference calculation is carried out on the registration time of the primary-selected staffs and the current time of a system to obtain the registration time of the primary-selected staffs, and the registration time is marked as M1;
s73: setting all mobile phone terminal models to correspond to a terminal value, matching the mobile phone terminal model of the primary selection person with all mobile phone terminal models to obtain a corresponding terminal value, and marking the terminal value as M2;
s74: acquiring the residual flow of the mobile phone package of the initially selected person and marking the residual flow as M3; calculating the distance difference between the current real-time position of the mobile phone terminal of the primary selection person and the position of the distribution box to obtain a transmission distance, and marking the transmission distance as M4; carrying out normalization processing on the transmission interval, the registration time length, the terminal value and the residual flow of the mobile phone package and taking the numerical values;
s75: using formulas
Obtaining a blue transmission value MZ of the primary selection personnel; wherein d1, d2, d3, d4 and d5 are all preset proportionality coefficients; m5 is the transmission total product value of the primary selection personnel;
s76: marking the primary selected person with the largest blue transmission value as an optimal person, sending the position of the distribution box and a Bluetooth transmission instruction to a mobile phone terminal of the optimal person by a transmission analysis module, and marking the moment of sending the Bluetooth transmission instruction as a sending moment; meanwhile, the transmission analysis module sends the mobile phone number of the preferred person and the position of the distribution box to the transmission verification module;
s77: after receiving the position of the distribution box and the Bluetooth transmission instruction, the mobile phone terminal of the preferred personnel reaches the position of the distribution box and is verified through the transmission verification module, and after the verification is successful; the transmission analysis module is in Bluetooth connection with a mobile phone terminal of an optimized person, encrypts a total compression package of an element to be transmitted, and transmits the total compression package to the mobile phone terminal of the optimized person through Bluetooth; the optimized personnel send the total compression packet to the cloud platform through the mobile phone terminal, and the total sending times of the optimized personnel are increased once;
the transmission verification module is used for verifying the preferred personnel and calculating the total transmission product value of the preferred personnel, and comprises the following specific steps:
s1: the optimized personnel sends a current real-time position and a transmission starting instruction to the transmission verification module through the mobile phone terminal, the transmission verification module matches the current real-time position and the mobile phone number of the optimized personnel with the stored mobile phone number and the position of the distribution box, when the current real-time position and the mobile phone number are matched with the stored mobile phone number and the stored position of the distribution box, verification is successful, and meanwhile, the transmission verification module marks the moment of receiving the transmission starting instruction as a starting moment;
s2: calculating the time difference between the starting time and the sending time to obtain an execution duration and marking the execution duration as T1; when the execution time length is less than a set time length threshold KS; then, the total transmission value is calculated, and the specific calculation steps are as follows:
s21: acquiring a transmission distance M4 of a preferred person; the method comprises the steps that the execution duration and the transmission distance of a preferred person are subjected to dimension removal processing, the numerical values are taken, and a single transmission value DS of the preferred person is obtained by using a formula DS (M4 x d6+ (KS-T1) x d 7; d6 and d7 are preset proportionality coefficients, KS is M4 × d8, and d8 is a distance duration conversion coefficient;
s22: and summing all single transmission values DS of the preferred personnel to obtain a total transmission product value of the preferred personnel, and sending the total transmission product value to the cloud platform for storage.
2. The operation supervision system based on the chassis intelligent module component is characterized by further comprising a registration login module, wherein the registration login module is used for a user to submit personnel information and a transmission time period for registration and send the personnel information and the transmission time period which are successfully registered to the cloud platform, and meanwhile, the cloud platform marks the moment when the personnel information is received as the registration moment and marks the user which is successfully registered as a registered person; after receiving the transmission time period, the cloud platform marks the registered personnel as the personnel to be selected in the transmission time period; the personnel information comprises name, mobile phone model, age and mobile phone number.
3. The chassis-based intelligent module assembly operation supervision system according to claim 1, further comprising a supervision analysis module; the supervision analysis module is used for supervising the case data, and specifically comprises the following steps: the setting elements correspond to an abnormal early warning value group, the abnormal early warning value group is composed of a plurality of early warning threshold values, and the abnormal early warning value group corresponds to data in the operation information one by one; and when the data in the operation information is larger than the corresponding early warning threshold value, generating an early warning instruction, and sending the early warning instruction corresponding to the element to a computer terminal of a worker by the monitoring analysis module.
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| CN114221981B (en) * | 2021-12-15 | 2023-04-07 | 江苏阜民新材料有限公司 | Big data-based fire safety emergency system for energy storage power station |
| CN114629811A (en) * | 2022-05-16 | 2022-06-14 | 上海泛腾电子科技有限公司 | Operation monitoring method for industrial Ethernet communication system |
| CN115002110B (en) * | 2022-05-20 | 2023-11-03 | 深圳市云帆自动化技术有限公司 | Unmanned data transmission system of offshore platform based on multiprotocol conversion |
| CN115017983A (en) * | 2022-05-31 | 2022-09-06 | 上海隽鑫安全技术管理服务有限公司 | Anti-interference mobile terminal for field safety management and control |
| CN114996755B (en) * | 2022-06-07 | 2023-05-26 | 北京国联视讯信息技术股份有限公司 | Cache data safety protection system based on cloud computing |
| CN115410295A (en) * | 2022-06-23 | 2022-11-29 | 上海洪语建筑材料科技有限公司 | Intelligent integrated management platform based on cloud computing |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105406604A (en) * | 2015-12-31 | 2016-03-16 | 国网浙江余姚市供电公司 | Internet-of-things supervision system of electric meter boxes |
| CN205265364U (en) * | 2015-12-15 | 2016-05-25 | 常州思瑞电力科技有限公司 | Intelligent monitoring device that wind -power box becomes |
| DE102017122283B3 (en) * | 2017-09-26 | 2018-09-20 | EnBW Energie Baden-Württemberg AG | Monitoring an energy parameter in a distribution station |
| CN209282929U (en) * | 2018-10-18 | 2019-08-20 | 杭州思源信息技术股份有限公司 | A kind of electric power box intelligent monitoring protection management system |
| CN111864902A (en) * | 2020-07-01 | 2020-10-30 | 国网青海省电力公司西宁供电公司 | A comprehensive analysis system for secondary equipment faults in smart substations based on big data |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009086485A1 (en) * | 2007-12-28 | 2009-07-09 | Server Technology, Inc. | Power distribution, management, and monitoring systems and methods |
| JP5446922B2 (en) * | 2010-01-25 | 2014-03-19 | ソニー株式会社 | Power management apparatus, electronic device, and electronic device registration method |
-
2020
- 2020-10-31 CN CN202011195259.8A patent/CN112350440B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205265364U (en) * | 2015-12-15 | 2016-05-25 | 常州思瑞电力科技有限公司 | Intelligent monitoring device that wind -power box becomes |
| CN105406604A (en) * | 2015-12-31 | 2016-03-16 | 国网浙江余姚市供电公司 | Internet-of-things supervision system of electric meter boxes |
| DE102017122283B3 (en) * | 2017-09-26 | 2018-09-20 | EnBW Energie Baden-Württemberg AG | Monitoring an energy parameter in a distribution station |
| CN209282929U (en) * | 2018-10-18 | 2019-08-20 | 杭州思源信息技术股份有限公司 | A kind of electric power box intelligent monitoring protection management system |
| CN111864902A (en) * | 2020-07-01 | 2020-10-30 | 国网青海省电力公司西宁供电公司 | A comprehensive analysis system for secondary equipment faults in smart substations based on big data |
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