CN117273433A - On-site operation personal risk situation awareness calculation method and system - Google Patents
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Abstract
The invention belongs to the field of power systems and automation, and discloses a human risk situation awareness calculation method for field operation, which comprises the steps of constructing a hierarchical structure according to a field operation risk index system and scoring corresponding indexes of importance degrees of relative factors; introducing a consistency ratio value to carry out consistency check on the judgment matrix through the constructed judgment matrix; the method comprises the steps of calculating weights by adopting a method root to obtain a regional on-site risk situation prediction comprehensive score; and managing and controlling the regional risks in a layering way and formulating a corresponding management and control strategy. The invention realizes the datamation and index of the field operation risk situation awareness, develops a corresponding risk management and control strategy, improves the management and control efficiency, carries out the quantization processing on the field operation risk and realizes the digitalization of the power grid operation.
Description
Technical Field
The invention belongs to the field of power systems and automation, and particularly relates to a regional power grid enterprise on-site operation personal risk situation awareness calculation method.
Background
In recent years, southern electric network companies construct 1+N field operation risk management and control mechanisms. The management and control loop of the field operation risk is defined: planning management before operation, operation risk assessment and preparation of personnel, tools, vehicles, files and materials involved in operation; video monitoring and online and offline safety supervision in operation; and (5) carrying out statistical analysis and problem improvement after operation. It can be said that the method provides a fundamental working guide for job risk prevention and control. Aiming at single operation risks, a southern power grid company carries out risk grading on the operation according to the standard risk assessment of a safety risk management system, the operation risk assessment based on problems, the continuous risk assessment carries out operation risk assessment, and the management and control strategies of operation risks of different grades are matched. The personal risk prevention and control method and the loop for single-item field operation are only aimed at single-item operation, do not carry out comprehensive quantitative evaluation on the operation risk of a certain area in a certain time period, and can not provide resource matching and field operation risk management and control strategy optimization and auxiliary decision advice for a high-level power grid enterprise.
The invention provides a regional power grid enterprise on-site operation personal risk situation awareness calculation method and a regional power grid enterprise on-site operation personal risk situation awareness calculation system, which mainly relate to risk situation prediction analysis and system construction of people, operation sites and environments, and also relate to establishment of a risk quantified self-adaptive awareness evaluation system of a selected region.
Disclosure of Invention
The present invention has been made in view of the above-described problems occurring in the prior art.
Therefore, the invention provides a method for calculating the risk situation perception of the on-site operation personnel, which carries out risk quantification evaluation on various alarm signals related to the on-site operation personnel risk control in operation within a period of time according to a selected area, and carries out dynamic adjustment on model algorithm index weights according to results caused by risk after operation, thereby realizing the on-site operation personnel risk self-adaptive perception of a specific area.
In order to solve the technical problems, the invention provides a method for perceiving and calculating the risk situation of a person in field operation, which comprises the following steps:
constructing a hierarchical structure according to a field operation risk index system, and scoring corresponding indexes according to the importance degree of the relative factors; introducing a consistency ratio value to carry out consistency check on the judgment matrix through the constructed judgment matrix; the method comprises the steps of calculating weights by adopting a method root to obtain a regional on-site risk situation prediction comprehensive score; and managing and controlling the regional risks in a layering way and formulating a corresponding management and control strategy.
As a preferable scheme of the on-site operation personal risk situation awareness calculating method, the invention comprises the following steps: the consistency check comprises introducing a consistency ratio CR value to carry out consistency check on A according to a constructed judgment matrix A, wherein the consistency check is expressed as follows:
the elements in the judgment matrix A satisfy the following conditions: a, a ij ＞0∧a ij ×a ji ＝1∧a ii ＝1；
When CR is less than 0.1, passing the consistency check, and when CR is more than or equal to 0.1, failing the consistency check, adjusting the judgment matrix until passing the check and calculating the weight coefficient; wherein lambda is max For the maximum eigenvalue of the matrix, n is the matrix order, and RI is the random consistency index.
As a preferable scheme of the on-site operation personal risk situation awareness calculating method, the invention comprises the following steps: the weight coefficient comprises the following weight coefficient calculation expression which is carried out on the requirement of meeting the consistency proportion by adopting a general average method:
wherein a is ij Is the value of the j-th column of the i-th row of the matrix.
As a preferable scheme of the on-site operation personal risk situation awareness calculating method, the invention comprises the following steps: the adjustment judgment matrix comprises a rechecking judgment matrix A, the influence degree of all factors in the sensitivity analysis evaluation judgment matrix on a final result is carried out, the variation range of parameters affecting the evaluation result of the personal risk is determined, the parameters are randomly combined according to the set parameter range, the calculation simulation of the personal risk is carried out, the calculation results and the variation trends under different parameter combinations are compared, when the influence of the parameter 1 on the calculation results is large, the variation trend of the parameter 1 has obvious result variation, the parameter 1 is indicated to have high sensitivity, all the parameters with high sensitivity are adjusted, and the consistency test is carried out again until the test is passed.
As a preferable scheme of the on-site operation personal risk situation awareness calculating method, the invention comprises the following steps: the comprehensive grading of the regional site risk situation prediction comprises the steps of calculating weights according to a judgment matrix by adopting a square root method, and calculating the index data and the corresponding weights as follows:
P＝ω 1 ×[α 1 ×(N1*W1+N2*W2+N3*W3+N4*W4)+α 2 ×(A1*W5+A2*W6+A3*W7+A4*W8)+α 3 ×(B1*W9)+α 4 ×(C1*W10+C2*W11)]+ω 2 ×α 5 ×(D1*W12+D2*W13+D3*W14+D4*W15)+ω 3 ×[α 6 ×(E1*W16)+α 7 ×(F1*W17)]
wherein omega 1 Omega as a risk source 2 Omega for risk management 3 As a result of risk.
As a preferable scheme of the on-site operation personal risk situation awareness calculating method, the invention comprises the following steps: the corresponding indexes comprise results which are classified into risk sources before operation, risk management and control in operation and risk after operation, and specifically comprise the following steps: the operation includes defect alpha before 1 Failure list alpha 2 Customer complaint alpha 3 Hidden danger alpha 4 The method comprises the steps of carrying out a first treatment on the surface of the The operation comprises early warning alpha in the operation process 5 The method comprises the steps of carrying out a first treatment on the surface of the The operation includes the common and above personal accidents alpha 6 Alpha of light injury 7 。
As a preferable scheme of the on-site operation personal risk situation awareness calculating method, the invention comprises the following steps: the regional risk comprises different frequency thresholds when the early warning signal high risk regions in risk management and control occur in different regions: when the county and regional office power supply unit generates 1 class A alarm signal, the operation risk is judged to be a high risk area; when the local city level unit generates 3A-class alarm signals, judging the operation risk as a high risk area; and when the provincial power grid unit generates 9 class A alarm signals, judging the operation risk as a high risk area.
Another object of the present invention is to provide a system for a human risk situation awareness and calculation method for field operation, where the human risk situation awareness system includes a hierarchy construction module, an index scoring module, a consistency checking module, a risk situation prediction module, and a risk management and control response module, so as to improve management and control efficiency and realize digitization of power grid operation.
The on-site operation personal risk situation awareness computing system is characterized by comprising a hierarchy construction module, an index scoring module, a consistency checking module, a risk situation prediction module and a risk management and control response module.
The hierarchy construction module constructs a hierarchy structure of the personal risk of the field operation according to the field operation risk index system.
And the index scoring module scores corresponding indexes according to the importance degree of the relative factors.
And the consistency checking module is responsible for checking the consistency and accuracy of the evaluation result.
The risk situation prediction module is responsible for predicting the development trend of the risk of the on-site operation personnel in a future period according to the current risk score and the historical data.
And the risk management and control response module is used for managing and controlling the regional risk in a layered manner and formulating a corresponding management and control strategy.
A computer device comprising a memory and a processor, said memory storing a computer program, characterized in that said processor, when executing said computer program, implements the steps of a method for human risk situation awareness computation of field operations.
A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor performs the steps of a method for human risk situation awareness computation of a field operation.
The invention has the beneficial effects that: the invention realizes the datamation and index of the field operation risk situation awareness; aiming at the evaluation result, a corresponding risk management and control strategy is formulated, and the management and control efficiency is improved; and carrying out quantization processing on the field operation risk by using the power grid operation data, so as to realize the digitalization of power grid operation.
Drawings
For a clearer description of the technical solutions of embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art, wherein:
fig. 1 is a schematic flow chart of a method for perceived computation of a risk situation of an on-site operation person according to an embodiment of the present invention.
Fig. 2 is a risk situation awareness hierarchical analysis chart of a certain area of a risk situation awareness calculation method for an on-site operation person according to an embodiment of the present invention.
Fig. 3 is a comprehensive evaluation chart of risk situations of various areas of a human risk situation awareness calculation method for field operation according to an embodiment of the present invention.
Fig. 4 is a schematic workflow diagram of a system for sensing and calculating risk situations of an on-site operation according to an embodiment of the present invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
While the embodiments of the present invention have been illustrated and described in detail in the drawings, the cross-sectional view of the device structure is not to scale in the general sense for ease of illustration, and the drawings are merely exemplary and should not be construed as limiting the scope of the invention. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
Also in the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "upper, lower, inner and outer", etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected, and coupled" should be construed broadly in this disclosure unless otherwise specifically indicated and defined, such as: can be fixed connection, detachable connection or integral connection; it may also be a mechanical connection, an electrical connection, or a direct connection, or may be indirectly connected through an intermediate medium, or may be a communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Example 1
Referring to fig. 1, a first embodiment of the present invention provides a method for sensing and calculating a risk situation of a person in a field operation, including:
s1: and constructing a hierarchical structure according to the field operation risk index system, and scoring corresponding indexes according to the importance degree of the relative factors.
Furthermore, according to the selected area, risk quantification evaluation is carried out on risk sources of on-site operation personnel, such as equipment hidden danger and environmental conditions which possibly endanger personnel in equipment emergency defect, major defect and on-site operation, customer complaints, the duty ratio of medium-high risk planning operation, five levels of rush repair operation and the like, various alarm signals related to risk control are subjected to risk quantification evaluation in operation, and the result of risk after operation is dynamically adjusted to model algorithm index weight, so that the self-adaptive perception of area risk quantification is realized. The method is provided for field operation risk management and control, resource matching and policy optimization, and personal safety of field operation personnel is guaranteed.
It should be noted that, according to the on-site operation risk index system of the power grid enterprise, a hierarchical structure is constructed, as shown in the following table 1:
TABLE 1 influencing factor identification Table
It should also be noted that, scoring of the corresponding index is performed according to the importance degree of the relative factor in the analytic hierarchy process, and the specific scoring details are shown in table 2 below:
table 2 scale meaning
S2: and introducing a consistency ratio value to carry out consistency test on the judgment matrix through the constructed judgment matrix.
Furthermore, introducing a consistency ratio CR value according to the constructed judgment matrix A to carry out consistency test on the A is expressed as follows:
the elements in the judgment matrix A satisfy the following conditions: (a) ij ＞0)∧(a ij ×a ji ＝1)∧(a ii ＝1)；
When CR < 0.1, then passing the consistency check, when CWhen R is more than or equal to 0.1, the consistency test is not passed, and the judgment matrix is adjusted until the judgment matrix passes the test and the weight coefficient calculation is carried out; wherein lambda is max For the maximum eigenvalue of the matrix, n is the matrix order, RI is a random consistency index and is found from the values of n in table 3 below:
TABLE 3 comparison of the consistency index RI with the matrix order n
If the test is not passed, the test should be appropriately adjusted until the test is passed. And after the consistency proportion meets the requirement, calculating the weight coefficient. The weight coefficient calculation expression for meeting the consistency proportion requirement by adopting a general average method is as follows:
wherein a is ij Is the value of the j-th column of the i-th row of the matrix.
It should be further noted that, rechecking the judgment matrix a, performing sensitivity analysis to evaluate the influence degree of all factors in the judgment matrix on the final result, determining the variation range of parameters affecting the evaluation result of the personal risk, randomly combining the parameters according to the set parameter range, performing calculation simulation of the personal risk, comparing the calculation results and variation trends under different parameter combinations, when the influence of the parameter 1 on the calculation results is large and the variation trend of the parameter 1 has significant result variation, indicating that the parameter 1 has high sensitivity, adjusting all the parameters with high sensitivity, and re-performing consistency test until the test is passed.
S3: and (5) calculating weights by adopting a method root to obtain the regional on-site risk situation prediction comprehensive score.
Furthermore, the method of root method is adopted to calculate the weight according to the judgment matrix, and the calculation expression of each index data and the corresponding weight is as follows:
P＝ω 1 ×[α 1 ×(N1*W1+N2*W2+N3*W3+N4*W4)+α 2 ×(A1*W5+A2*W6+A3*W7+A4*W8)+α 3 ×(B1*W9)+α 4 ×(C1*W10+C2*W11)]+ω 2 ×α 5 ×(D1*W12+D2*W13+D3*W14+D4*W15)+ω 3 ×[α 6 ×(E1*W16)+α 7 ×(F1*W17)]
wherein omega 1 Omega as a risk source 2 Omega for risk management 3 As a result of risk.
It should be noted that, the corresponding indexes include results caused by risk sources before operation, risk management during operation and risk after operation, and specifically include the following: the defect alpha is included before operation 1 Failure list alpha 2 Customer complaint alpha 3 Hidden danger alpha 4 The method comprises the steps of carrying out a first treatment on the surface of the The operation includes early warning alpha in the operation process 5 The method comprises the steps of carrying out a first treatment on the surface of the After operation, the human body accident alpha is common and above 6 Alpha of light injury 7 。
It should also be noted that before the operation (risk source ω 1 ): according to the risk sources of on-site operation personnel, such as equipment emergency defects, major defects, equipment hidden dangers, environmental conditions, customer complaints, the duty ratio of medium-high risk planning operations, five-level rush repair operations and the like, which can endanger personnel in on-site operation, the risk is quantitatively evaluated.
Index 1: defects (classified into 4 classes, weighted as α 1 ): other defects, general defects, major defects, emergency defects; the number of the corresponding option events of a certain area is recorded as N1, N2, N3 and N4, the weight values of the four options are respectively W1, W2, W3 and W4, and the calculation formula is as follows: final score of the index term = n1×w1+n2×w2+n3×w3+n4×w4.
Index 2: fault order (95598 complaints, classified into four classes, weighted as alpha 2 ): acceptable, low, medium, and high; wherein, the single-level number of the faults of the options corresponding to a certain area is A1, A2, A3 and A4, the weight values of the four options are W5, W6, W7 and W8 respectively, and the calculation formula is as follows: final score of the index term = a1×w5+a2×w6+a3×w7+a4×w8.
Index 3: customer complaints (12398, weight of which is alpha) 3 ) Wherein, a certainThe complaint times of regional clients are taken as B1, the weight value is W9, and the calculation formula is as follows: final score of the index term = B1 x W9.
Index 4: hidden trouble (its weight is alpha) 4 ): hidden danger of personal safety objects and hidden danger of personal safety operation environments can be endangered; wherein, the event number of the corresponding option of a certain area is marked as C1 and C2, the weight values of the four options are respectively W10 and W11, and the calculation formula is as follows: final score of the index term = c1×w10+c2×w11.
It should also be noted that in operation (risk management ω 2 ) Medium index 5: early warning during operation (weight is alpha 5 ) The method comprises the following steps: class D, class C, class B, class a; the number of the options corresponding to a certain area is marked as D1, D2, D3 and D4, the weight values of the four options are respectively W12, W13, W14 and W15, and the calculation formula is as follows: final score of the index term = d1×w12+d2×w13+d3×w14+d4×w15.
It should also be noted that after the operation (risk-induced result ω 3 ) In (a):
index 6: accident (common and above personal accident, its weight is alpha) 6 ) Wherein, the number of the general and above personal story cases corresponding to a certain area is marked as E1, the weight value is W16, and the calculation formula is as follows: final score of the index term = E1 x W16.
Index 7: event (light injury, weight of which is alpha) 7 ) Wherein, the number of the corresponding light injury events of a certain area is marked as F1, the weight value is W17, and the calculation formula is as follows: final score of the index term = F1 x W17.
From the 7 indexes, 17 dimensions are evaluated and scored in total, and then the risk situation of a certain area is comprehensively evaluated by a hierarchical analysis method.
S4: and managing and controlling the regional risks in a layering way and formulating a corresponding management and control strategy.
Furthermore, the threshold of the number of times when the early warning signal high risk area in risk management and control appears in different areas is different: when the county and regional office power supply unit generates 1 class A alarm signal, the operation risk is judged to be a high risk area; when the local city level unit generates 3A-class alarm signals, judging the operation risk as a high risk area; and when the provincial power grid unit generates 9 class A alarm signals, judging the operation risk as a high risk area.
It should be noted that the regional risk management strategy: the regional risk is managed and controlled in a hierarchical level, and a specific management and control strategy is as follows:
table 4 regional risk situation management and control strategy
Example 2
Referring to fig. 2-3, for one embodiment of the present invention, a method for calculating the risk situation awareness of a person in field operation is provided, and in order to verify the beneficial effects of the present invention, scientific demonstration is performed through experiments.
The analytic hierarchy process is embedded into a field operation video monitoring platform of a power grid company, so that the field operation risk situation prediction of each region is realized, namely, the risk classification can be carried out through the risk situation prediction of each region, and the establishment and implementation of a risk management and control strategy are carried out; the concrete calculation process of the practical case is as follows:
for each element of the same layer, comparing the importance of a certain criterion of the previous criterion layer in pairs to form a judgment matrix, obtaining relative weight of a certain layer according to the judgment matrix, and carrying out consistency test, wherein the analysis results are shown in the following tables:
TABLE 4 first level index determination matrix
Table 5 three-level index judgment matrix
Table 6 part three-level index judgment matrix
| Emergency defect | Major defects | General defects | Other defects | Feature vector | Weight value (%) | |
| Emergency defect | 1 | 3 | 6 | 9 | 3.568 | 58.95 |
| Major defects | 0.333 | 1 | 3 | 6 | 1.565 | 25.861 |
| General defects | 0.167 | 0.333 | 1 | 3 | 0.639 | 10.558 |
| Other defects | 0.111 | 0.167 | 0.333 | 1 | 0.28 | 4.632 |
The indexes in the above tables pass the consistency test, and the normalized weights of the indexes are shown in the following table 7:
TABLE 7 influence factor weight Allocation Table
According to the impact factor event data of different areas, the comprehensive evaluation scores of all areas are obtained by analyzing and calculating the impact factor event data in combination with the weight indexes of all levels in the table, and as shown in the following figure 3, the score distribution of all areas is shown, the total score interval is between 0.2 and 1.7, so that the interval is divided into 4 interval sections which respectively represent high, medium, low and no risk, and the corresponding comprehensive evaluation score can be calculated for any area. Aiming at the divided four risk area grades, different risk management and control strategies are formulated as shown in the following table:
table 8 regional risk situation management and control strategy
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made thereto without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered by the scope of the claims of the present invention.
Example 3
A third embodiment of the present invention, which is different from the first two embodiments, is:
the functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Example 4
Referring to fig. 4, a fourth embodiment of the present invention provides a system for sensing and calculating a risk situation of a person in field operation, which includes a hierarchy construction module, an index scoring module, a consistency checking module, a risk situation prediction module, and a risk management and control response module.
The hierarchy construction module constructs a hierarchy structure of the personal risk of the field operation according to the field operation risk index system.
The index scoring module scores corresponding indexes according to the importance degrees of the relative factors.
The consistency checking module is responsible for checking consistency and accuracy of the evaluation result.
The risk situation prediction module is responsible for predicting the development trend of the on-site operation personal risk in a period of time in the future according to the current risk score and the historical data.
And the risk management and control response module manages the regional risk in a hierarchical level and formulates a corresponding management and control strategy.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made thereto without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered by the scope of the claims of the present invention.
Claims (10)
1. A method for perceiving and calculating risk situations of on-site operation personnel is characterized by comprising the following steps: comprising the steps of (a) a step of,
constructing a hierarchical structure according to a field operation risk index system, and scoring corresponding indexes according to the importance degree of the relative factors;
introducing a consistency ratio value to carry out consistency check on the judgment matrix through the constructed judgment matrix;
the method comprises the steps of calculating weights by adopting a method root to obtain a regional on-site risk situation prediction comprehensive score;
and managing and controlling the regional risks in a layering way and formulating a corresponding management and control strategy.
2. The method for perceived computation of the risk situation of a person working on site according to claim 1, wherein: the consistency check comprises introducing a consistency ratio CR value to carry out consistency check on A according to a constructed judgment matrix A, wherein the consistency check is expressed as follows:
the elements in the judgment matrix A satisfy the following conditions: (a) ij ＞0)∧(a ij ×a ji ＝1)∧(a ii ＝1)；
When CR is less than 0.1, passing the consistency check, and when CR is more than or equal to 0.1, failing the consistency check, adjusting the judgment matrix until passing the check and calculating the weight coefficient;
wherein lambda is max For the maximum eigenvalue of the matrix, n is the matrix order, and RI is the random consistency index.
3. The method for perceived computation of the risk situation of a person working on site according to claim 2, wherein: the weight coefficient comprises the following weight coefficient calculation expression which is carried out on the requirement of meeting the consistency proportion by adopting a general average method:
wherein a is ij Is the value of the j-th column of the i-th row of the matrix.
4. A method for perceived computation of a personal risk situation for a field operation as claimed in claim 3, wherein: the adjustment judgment matrix comprises a rechecking judgment matrix A, the influence degree of all factors in the sensitivity analysis evaluation judgment matrix on a final result is carried out, the variation range of parameters affecting the evaluation result of the personal risk is determined, the parameters are randomly combined according to the set parameter range, the calculation simulation of the personal risk is carried out, the calculation results and the variation trends under different parameter combinations are compared, when the influence of the parameter 1 on the calculation results is large, the variation trend of the parameter 1 has obvious result variation, the parameter 1 is indicated to have high sensitivity, all the parameters with high sensitivity are adjusted, and the consistency test is carried out again until the test is passed.
5. The method for perceived computation of the risk situation of the on-site operation personnel as set forth in claim 4, wherein: the comprehensive grading of the regional site risk situation prediction comprises the steps of calculating weights according to a judgment matrix by adopting a square root method, and calculating the index data and the corresponding weights as follows:
P＝ω 1 ×[α 1 ×(N1*W1+N2*W2+N3*W3+N4*W4)+α 2 ×(A1*W5+A2*W6+A3*W7+A4*W8)+α 3 ×(B1*W9)+α 4 ×(C1*W10+C2*W11)]+ω 2 ×α 5 ×(D1*W12+D2*W13+D3*W14+D4*W15)+ω 3 ×[α 6 ×(E1*W16)+α 7 ×(F1*W17)]
wherein omega 1 Omega as a risk source 2 Omega for risk management 3 As a result of risk.
6. The method for perceived computation of the risk situation of the on-site operation personnel according to claim 5, wherein the method comprises the following steps: the corresponding indexes comprise results which are classified into risk sources before operation, risk management and control in operation and risk after operation, and specifically comprise the following steps:
the front operation bagDefect alpha 1 Failure list alpha 2 Customer complaint alpha 3 Hidden danger alpha 4 ；
The operation comprises early warning alpha in the operation process 5 ；
The operation includes the common and above personal accidents alpha 6 Alpha of light injury 7 。
7. The method for perceived computation of the risk situation of the on-site operation personnel as set forth in claim 6, wherein: the regional risk comprises different frequency thresholds when the early warning signal high risk regions in risk management and control occur in different regions:
when the county and regional office power supply unit generates 1 class A alarm signal, the operation risk is judged to be a high risk area;
when the local city level unit generates 3A-class alarm signals, judging the operation risk as a high risk area;
and when the provincial power grid unit generates 9 class A alarm signals, judging the operation risk as a high risk area.
8. A system employing the on-site operation personal risk situation awareness calculation method according to any one of claims 1 to 7, characterized in that: the system comprises a hierarchy construction module, an index scoring module, a consistency checking module, a risk situation prediction module and a risk management and control response module;
the hierarchy construction module constructs a hierarchy structure of the personal risk of the field operation according to the field operation risk index system;
the index scoring module scores corresponding indexes according to the importance degree of the relative factors;
the consistency checking module is responsible for checking consistency and accuracy of the evaluation result;
the risk situation prediction module is responsible for predicting the development trend of the risk of the on-site operation personnel in a period of time in the future according to the current risk score and the historical data;
and the risk management and control response module is used for managing and controlling the regional risk in a layered manner and formulating a corresponding management and control strategy.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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